Job Postings
Sunday, 10 August 2025 8am-9am West Building, Exhibit Hall C
Senior Technical Artist (Game Engine) - EA SPORTS Technology
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, FC soccer, NHL® hockey, and EA SPORTS UFC.
As part of Sport Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
Your Responsibilities:
As a Senior Technical Artist - Game Engine, your mission is to lead, design, and implement efficient, high-quality content production workflows, technologies, and visuals for our SPORTS Shared Initiatives, working on the frontier of content creation. As a contributor, you are an expert in the Technical Art field, with main responsibilities including developing content workflows and solutions in game engine, systems, optimizations, integrations with other production systems, and scripting game engine tools.
Senior Technical Artists are expected to assume ownership over assigned areas - understanding requirements, developing solutions or prototypes, and resolving any technical issues that arise during development. You will partner with other Technical Artists and Artists on the team, as well as collaborate with the game teams and other Sports Tech central teams. You can be from an Art, Design, Mathematics, Engineering or Computer Science background; however, you must demonstrate a comfort level in working with both art and science.
Your Qualifications:
- At least 6+ years of cinematic/games production experience.
- A bachelor's degree (or equivalent) in a related field.
- Effective at communicating with different audiences: artists, engineers, and managers.
- Proficient scripting/programming in Python, C#, or other game engine scripting environments.
- Expert knowledge of 2D and 3D art packages such as Maya, Photoshop, and Houdini. Substance Designer is a bonus.
- A solutions provider, especially as it pertains to developing techniques to meet quality targets within technical constraints.
- Experience with asset optimization challenges/techniques, especially in game engines.
- A willingness to jump into the unknown and solve new problems; the ability to think creatively to resolve technical challenges and limitations.
- A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $115,100 - $161,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
As part of Sport Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
Your Responsibilities:
As a Senior Technical Artist - Game Engine, your mission is to lead, design, and implement efficient, high-quality content production workflows, technologies, and visuals for our SPORTS Shared Initiatives, working on the frontier of content creation. As a contributor, you are an expert in the Technical Art field, with main responsibilities including developing content workflows and solutions in game engine, systems, optimizations, integrations with other production systems, and scripting game engine tools.
Senior Technical Artists are expected to assume ownership over assigned areas - understanding requirements, developing solutions or prototypes, and resolving any technical issues that arise during development. You will partner with other Technical Artists and Artists on the team, as well as collaborate with the game teams and other Sports Tech central teams. You can be from an Art, Design, Mathematics, Engineering or Computer Science background; however, you must demonstrate a comfort level in working with both art and science.
Your Qualifications:
- At least 6+ years of cinematic/games production experience.
- A bachelor's degree (or equivalent) in a related field.
- Effective at communicating with different audiences: artists, engineers, and managers.
- Proficient scripting/programming in Python, C#, or other game engine scripting environments.
- Expert knowledge of 2D and 3D art packages such as Maya, Photoshop, and Houdini. Substance Designer is a bonus.
- A solutions provider, especially as it pertains to developing techniques to meet quality targets within technical constraints.
- Experience with asset optimization challenges/techniques, especially in game engines.
- A willingness to jump into the unknown and solve new problems; the ability to think creatively to resolve technical challenges and limitations.
- A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $115,100 - $161,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Full-Time; Games
Skills and Experience:
Production Technology; Software Engineer; Programmer; Pipeline Development Engineer; Developer; Art
·
2025-07-16
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Technical Artist (Tools) - EA SPORTS Technology
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, FC soccer, NHL® hockey, and EA SPORTS UFC.
As part of Sport Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
Your Responsibilities:
As a Technical Artist, your mission is to implement efficient, high-quality content production workflows, technologies, and visuals for our SPORTS Shared Initiatives, working on the frontier of content creation. As a contributor, you are experienced in the Technical Art field, with main responsibilities including developing tools, pipelines, systems, optimizations, and integrations with other production systems..
Technical Artists are expected to assume ownership over their assigned areas - understanding requirements, developing solutions or prototypes, and resolving any technical issues that arise during development. You will partner with other Technical Artists and Artists on the team, as well as collaborate with the game teams and other Sports Tech central teams. You can be from an Art, Design, Mathematics, Engineering or Computer Science background; however, you must demonstrate a comfort level in working with both art and science.
Your Qualifications:
- At least 4+ years of cinematic/games production experience.
- A bachelor's degree (or equivalent) in a related field.
- Effective at communicating with different audiences: artists, engineers, and managers.
- Proficient scripting/programming in Python and C#. (C++ is a bonus, but is not required).
- Expert knowledge of 2D and 3D art packages such as Maya, Photoshop, and Houdini.
- A solutions provider, especially as it pertains to developing techniques to meet quality targets within technical constraints.
- Experience with asset optimization challenges/techniques.
- A willingness to jump into the unknown and solve new problems; the ability to think creatively to resolve technical challenges and limitations.
- A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $96,400 - $133,900 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
As part of Sport Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
Your Responsibilities:
As a Technical Artist, your mission is to implement efficient, high-quality content production workflows, technologies, and visuals for our SPORTS Shared Initiatives, working on the frontier of content creation. As a contributor, you are experienced in the Technical Art field, with main responsibilities including developing tools, pipelines, systems, optimizations, and integrations with other production systems..
Technical Artists are expected to assume ownership over their assigned areas - understanding requirements, developing solutions or prototypes, and resolving any technical issues that arise during development. You will partner with other Technical Artists and Artists on the team, as well as collaborate with the game teams and other Sports Tech central teams. You can be from an Art, Design, Mathematics, Engineering or Computer Science background; however, you must demonstrate a comfort level in working with both art and science.
Your Qualifications:
- At least 4+ years of cinematic/games production experience.
- A bachelor's degree (or equivalent) in a related field.
- Effective at communicating with different audiences: artists, engineers, and managers.
- Proficient scripting/programming in Python and C#. (C++ is a bonus, but is not required).
- Expert knowledge of 2D and 3D art packages such as Maya, Photoshop, and Houdini.
- A solutions provider, especially as it pertains to developing techniques to meet quality targets within technical constraints.
- Experience with asset optimization challenges/techniques.
- A willingness to jump into the unknown and solve new problems; the ability to think creatively to resolve technical challenges and limitations.
- A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $96,400 - $133,900 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Film/Entertainment; Full-Time; Games
Skills and Experience:
Production Technology; Software Engineer; Programmer; Developer; Art
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Technical Director - American Football
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC soccer, NHL® hockey, and EA SPORTS UFC.
We’re looking for you to help shape the technical foundation for an exciting American Football project, as well as to provide leadership and oversight to a talented and growing team of game developers. *This position will require a hybrid onsite presence*
Reporting to a Head of Engineering, you will:
- Collaborate with studio leadership to define and execute strategic goals and milestones, establishing best practices that promote our core development values, especially in rendering, CI/CD, personalization, backend systems, and presentation.
- Partner with production staff, directors, and other leads to determine engineering tasks and manage schedule requirements effectively.
- Provide technical mentorship and guidance to engineers, fostering an environment where everyone can thrive and grow.
- Review completed engineering tasks in collaboration with the Franchise Technical Director, production staff, and other leads, ensuring quality and alignment with project goals.
- Advocate for technology interests and policies throughout development, ensuring that future technology is developed on schedule and meets the needs of our game’s vision.
- Engage in research to acquire new knowledge necessary for your role and to maintain the technological evolution of our ambitious project.
- Stay informed about Tiburon and EA's current game designs and emerging technologies across multiple genres in the gaming industry.
You have:
- 15+ years of software engineering experience, with a solid understanding of the complexities involved in multiplayer games.
- Experience shipping multiplayer AAA titles across multiple generations of hardware platforms.
- Proven experience working on large-scale live services titles, demonstrating your ability to adapt and innovate in a dynamic environment.
- 10+ years of leadership and people management experience, with a focus on building supportive and collaborative teams.
- Expertise in managing large code bases, gameplay mechanics, networking, and optimization, contributing to a seamless user experience.
- Advanced C/C++ skills.
- Bachelor’s degree in computer science or equivalent professional experience.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
We’re looking for you to help shape the technical foundation for an exciting American Football project, as well as to provide leadership and oversight to a talented and growing team of game developers. *This position will require a hybrid onsite presence*
Reporting to a Head of Engineering, you will:
- Collaborate with studio leadership to define and execute strategic goals and milestones, establishing best practices that promote our core development values, especially in rendering, CI/CD, personalization, backend systems, and presentation.
- Partner with production staff, directors, and other leads to determine engineering tasks and manage schedule requirements effectively.
- Provide technical mentorship and guidance to engineers, fostering an environment where everyone can thrive and grow.
- Review completed engineering tasks in collaboration with the Franchise Technical Director, production staff, and other leads, ensuring quality and alignment with project goals.
- Advocate for technology interests and policies throughout development, ensuring that future technology is developed on schedule and meets the needs of our game’s vision.
- Engage in research to acquire new knowledge necessary for your role and to maintain the technological evolution of our ambitious project.
- Stay informed about Tiburon and EA's current game designs and emerging technologies across multiple genres in the gaming industry.
You have:
- 15+ years of software engineering experience, with a solid understanding of the complexities involved in multiplayer games.
- Experience shipping multiplayer AAA titles across multiple generations of hardware platforms.
- Proven experience working on large-scale live services titles, demonstrating your ability to adapt and innovate in a dynamic environment.
- 10+ years of leadership and people management experience, with a focus on building supportive and collaborative teams.
- Expertise in managing large code bases, gameplay mechanics, networking, and optimization, contributing to a seamless user experience.
- Advanced C/C++ skills.
- Bachelor’s degree in computer science or equivalent professional experience.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Orlando
In-Person:
Hybrid
Description of Position:
Undergraduate degree; Games
Skills and Experience:
Production Technology; Generalist; Software Engineer; Tools Development Engineer; Programmer; Pipeline Development Engineer; Research and Development Engineer; Developer; Rendering Engineer
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Engineer – Multimedia Gallery Systems
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SessionJob Postings
DescriptionWe are seeking a Research Engineer to lead the architecture and evolution of next-generation gallery systems on HarmonyOS. This role focuses on building a high-performance, intelligent media platform that supports advanced features such as HDR rendering, dynamic photos, and ultra-texture compression, while enabling seamless integration with HarmonyOS graphics and multimedia stack.
As media intelligence evolves, traditional gallery systems are no longer sufficient. You will help redefine media understanding and user experience through system-level innovation.
Responsibilities:
1. Drive end-to-end architecture design for gallery applications, ensuring clean layering, modularization, and consistent software quality.
2. Lead technical planning and system optimization across performance, power, and maintainability dimensions.
3. Implement advanced photo and video features (e.g., HDR, dynamic photos, compression), and align closely with OS-level frameworks and display pipelines.
4. Translate intelligent media requirements into system design and deliver intelligent experiences that go beyond traditional static galleries.
As media intelligence evolves, traditional gallery systems are no longer sufficient. You will help redefine media understanding and user experience through system-level innovation.
Responsibilities:
1. Drive end-to-end architecture design for gallery applications, ensuring clean layering, modularization, and consistent software quality.
2. Lead technical planning and system optimization across performance, power, and maintainability dimensions.
3. Implement advanced photo and video features (e.g., HDR, dynamic photos, compression), and align closely with OS-level frameworks and display pipelines.
4. Translate intelligent media requirements into system design and deliver intelligent experiences that go beyond traditional static galleries.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Proven experience in large-scale internet or consumer application architecture design and development.
2. Deep understanding of complex application architecture (e.g., componentization, dynamic modules).
3. Strong skills in requirement analysis, cross-functional collaboration, and leading development iterations.
4. Experience in multimedia software (e.g., image/video pipeline, codecs, rendering) is a strong asset.
5. Practical experience with intelligent media systems (e.g., AI-enhanced galleries, multimodal AIGC, smart video editing) is preferred.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Staff Software Engineer - Enterprise AI Platform
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SessionJob Postings
DescriptionNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior Staff full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.
What you will be doing:
Own the end-to-end lifecycle of software development, from concept to deployment, including architecture design, development, testing, and scaling
Understand internal micro-services, platforms, third party platforms and growing open-source code-repos to best leverage them during AI product development
Able to contribute to internal platforms and build re-usable components that can connect to enterprise data sources and power search, chatbots and other gen AI applications
Develop AI applications, platforms and systems enabling unified experience across applications and driving insights for end-to-end user experience
Build services that can support Inference, Training jobs, Ingestion Jobs
Understand the eco-system of data connectors and build secure AI applications which can access structured, unstructured data from a variety of databases at scale
Ensure system reliability, performance, and security at scale.
Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards.
Create and implement strategies to support business growth and technological advancements, ensuring flexibility and adaptability.
Provide peer reviews to other specialists including feedback on performance, scalability, and correctness.
Keep abreast of emerging trends and technologies in AI, software development, and system architecture.
Are a strong advocate of proven methods in software engineering and bring a detailed approach to testing, continuous delivery, and reducing technical debt.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of proven experience building sophisticated applications and APIs in On-prem, Cloud and hybrid cloud environments at large scale preferably in Python
Proven experience to build full stack applications including UI, backend, infrastructure
Proven expertise of performance, reliability in sophisticated distributed systems and the teams that build them
Strong proficiency in multiple programming languages and technologies relevant to AI and system development
Familiarity with gen AI application building, AI application deployments, Model Deployments (LLMs, Embeddings, Re-rankers, OCR etc)
Has delivered software with full understanding of deploying applications in Kubernetes clusters along with GPU and CPU pod scheduling (Ability to understand on Prem)
Proven track record to lead complex projects and deliver results in a fast-paced, multifaceted environment.
Extremely motivated, highly passionate, and curious about new technologies. Take pride in your work and strive to achieve incredible results and possess superb communication and planning skills.
Excellent leadership, problem-solving, analytical and communication skills, capable of inspiring and leading a technical team.
Ways to stand out from the crowd:
Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
Background with Kubernetes, Openshift, ML ops as well as experience with Model deployments (Inference, Training)
Self-motivation and a drive to get things to “done”.
Excellent programming, debugging, performance analysis, and test design skills using python is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior Staff full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.
What you will be doing:
Own the end-to-end lifecycle of software development, from concept to deployment, including architecture design, development, testing, and scaling
Understand internal micro-services, platforms, third party platforms and growing open-source code-repos to best leverage them during AI product development
Able to contribute to internal platforms and build re-usable components that can connect to enterprise data sources and power search, chatbots and other gen AI applications
Develop AI applications, platforms and systems enabling unified experience across applications and driving insights for end-to-end user experience
Build services that can support Inference, Training jobs, Ingestion Jobs
Understand the eco-system of data connectors and build secure AI applications which can access structured, unstructured data from a variety of databases at scale
Ensure system reliability, performance, and security at scale.
Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards.
Create and implement strategies to support business growth and technological advancements, ensuring flexibility and adaptability.
Provide peer reviews to other specialists including feedback on performance, scalability, and correctness.
Keep abreast of emerging trends and technologies in AI, software development, and system architecture.
Are a strong advocate of proven methods in software engineering and bring a detailed approach to testing, continuous delivery, and reducing technical debt.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of proven experience building sophisticated applications and APIs in On-prem, Cloud and hybrid cloud environments at large scale preferably in Python
Proven experience to build full stack applications including UI, backend, infrastructure
Proven expertise of performance, reliability in sophisticated distributed systems and the teams that build them
Strong proficiency in multiple programming languages and technologies relevant to AI and system development
Familiarity with gen AI application building, AI application deployments, Model Deployments (LLMs, Embeddings, Re-rankers, OCR etc)
Has delivered software with full understanding of deploying applications in Kubernetes clusters along with GPU and CPU pod scheduling (Ability to understand on Prem)
Proven track record to lead complex projects and deliver results in a fast-paced, multifaceted environment.
Extremely motivated, highly passionate, and curious about new technologies. Take pride in your work and strive to achieve incredible results and possess superb communication and planning skills.
Excellent leadership, problem-solving, analytical and communication skills, capable of inspiring and leading a technical team.
Ways to stand out from the crowd:
Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
Background with Kubernetes, Openshift, ML ops as well as experience with Model deployments (Inference, Training)
Self-motivation and a drive to get things to “done”.
Excellent programming, debugging, performance analysis, and test design skills using python is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Santa Clara
In-Person:
Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
AI Research Engineer- Infra
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SessionJob Postings
DescriptionWe are looking for a highly motivated researcher to help build the next generation of Huawei’s AI infrastructure, enabling efficient training, inference, and large-scale deployment of foundation models. This role focuses on driving improvements in system performance, cluster scalability and reliability, developer usability, and software–hardware co-design to power real-world AI applications.
Job Responsibilities
1. Contribute to the core competitiveness of Huawei’s AI infrastructure by improving training/inference performance, cluster scalability, cluster availability, and development usability, enabling optimized deployment for industry-leading customers.
2. Research and apply advanced AI system–algorithm integration, including but not limited to large pre-trained models, multimodal foundation models, world models, and recommendation systems, and deliver business-driven product solutions.
3. Participate in a wide range of system-level tasks, including operator development, model training and inference performance optimization, reliability system development, user-friendly interface design, adaptation to leading open-source ecosystems, industry solution design, and hardware–software co-design.
Job Responsibilities
1. Contribute to the core competitiveness of Huawei’s AI infrastructure by improving training/inference performance, cluster scalability, cluster availability, and development usability, enabling optimized deployment for industry-leading customers.
2. Research and apply advanced AI system–algorithm integration, including but not limited to large pre-trained models, multimodal foundation models, world models, and recommendation systems, and deliver business-driven product solutions.
3. Participate in a wide range of system-level tasks, including operator development, model training and inference performance optimization, reliability system development, user-friendly interface design, adaptation to leading open-source ecosystems, industry solution design, and hardware–software co-design.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Undergraduate degree; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Electrical/Electronic Engineering, Software Engineering, Machine Learning, or related fields.
2. Solid programming and algorithm implementation skills, with strong knowledge in model design, data structures, operating systems, distributed computing and storage systems, and parallel software development.
Strong learning ability, self-motivation, teamwork, and sense of responsibility.
3. In-depth research or engineering experience in at least one of the following areas: large models, multimodal models, recommendation systems, or distributed system optimization.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Software Engineer - Agentic AI
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SessionJob Postings
DescriptionNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It's an outstanding legacy of innovation that's fueled by phenomenal technology—and outstanding people! As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you will be doing:
Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
Make a difference by leveraging AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the industry.
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
5+ years of proven industry experience
Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What you will be doing:
Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
Make a difference by leveraging AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the industry.
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
5+ years of proven industry experience
Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Santa Clara
In-Person:
Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist-Multi Agents
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SessionJob Postings
DescriptionWe are seeking a senior research scientist to drive innovation in multi-agent intelligence and LLM-based agent reasoning. You will lead next-generation research in agent decision-making, self-evolution, and coordination, enabling foundational breakthroughs in Huawei’s AI Agent ecosystem and product-level agent deployment across cloud, devices, and ICT services.
Responsibilities
1. Lead advanced research in decision-making and reasoning for LLM-based agents (e.g., CoT reasoning, self-improvement, multi-agent collaboration).
2. Design scalable agent architectures that integrate large models with real-world applications across terminal, cloud, and interaction systems.
3. Support the implementation of intelligent agents in commercial products and strategic platforms.
4. Shape long-term research direction, build research teams, and foster academic and industrial partnerships.
Responsibilities
1. Lead advanced research in decision-making and reasoning for LLM-based agents (e.g., CoT reasoning, self-improvement, multi-agent collaboration).
2. Design scalable agent architectures that integrate large models with real-world applications across terminal, cloud, and interaction systems.
3. Support the implementation of intelligent agents in commercial products and strategic platforms.
4. Shape long-term research direction, build research teams, and foster academic and industrial partnerships.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Master’s or PhD from a leading institution in AI, NLP, or related fields.
2. 2+ years of experience in agent systems, large language models, or multimodal intelligent applications.
3. Strong track record in agent learning, reinforcement learning, prompt engineering, or self-improving LLM agents; publications or open-source contributions in related areas preferred.
4. Strong communication and collaboration skills; passion for turning cutting-edge ideas into real-world impact.
5. Experience in designing intelligent systems (agent OS, multi-agent simulation, or GUI-based agents) is a strong asset.
·
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Engine Programmer - EA SPORTS Technology
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SessionJob Postings
DescriptionEA SPORTS is one of the most iconic brands in sports & entertainment with nearly 30 years of innovation, passion, and connection of millions of players across the globe to their favourite sports, teams, and athletes. We are creating a team to build a new unannounced AAA EA SPORTS product across platforms. This is your opportunity to join this new team to shape the future of interactive entertainment and create the next great EA SPORTS game.
Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on user-generated experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.
We're looking for a Senior Engine Programmer to help build the technology that powers the next generation of EA SPORTS games. You'll work on the core systems that enable features across gameplay, presentation, and tools—ensuring performance, scalability, and stability at every level.
Your Responsibilities:
- Design, implement, and maintain low-level engine systems using C++.
- Optimize performance across memory, CPU, and streaming pipelines.
- Support cross-platform development and hardware-specific requirements.
- Profile and debug challenging engine issues in large-scale game environments.
- Evaluate and integrate new technologies, recommend engine improvements and help define our long term roadmap.
- Guide and support junior and mid-level engineers through code reviews, architecture discussion and hands-on guidance.
Your Qualifications:
- 7–10+ years of professional C++ experience.
- 5+ years of experience with engine architecture and system-level programming.
- 5+ years of experience with memory management, concurrency, and multi-threading.
- Debugging and optimization skills performance analysis using first party and proprietary profilers.
- Experience working with AAA engines (e.g., Frostbite, Unreal, Unity, or custom engines).
- Previous experience in a collaborative, cross-discipline team environment.
- Knowledge of linear algebra and 3D mathematics.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $133,400 - $193,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on user-generated experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.
We're looking for a Senior Engine Programmer to help build the technology that powers the next generation of EA SPORTS games. You'll work on the core systems that enable features across gameplay, presentation, and tools—ensuring performance, scalability, and stability at every level.
Your Responsibilities:
- Design, implement, and maintain low-level engine systems using C++.
- Optimize performance across memory, CPU, and streaming pipelines.
- Support cross-platform development and hardware-specific requirements.
- Profile and debug challenging engine issues in large-scale game environments.
- Evaluate and integrate new technologies, recommend engine improvements and help define our long term roadmap.
- Guide and support junior and mid-level engineers through code reviews, architecture discussion and hands-on guidance.
Your Qualifications:
- 7–10+ years of professional C++ experience.
- 5+ years of experience with engine architecture and system-level programming.
- 5+ years of experience with memory management, concurrency, and multi-threading.
- Debugging and optimization skills performance analysis using first party and proprietary profilers.
- Experience working with AAA engines (e.g., Frostbite, Unreal, Unity, or custom engines).
- Previous experience in a collaborative, cross-discipline team environment.
- Knowledge of linear algebra and 3D mathematics.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $133,400 - $193,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Full-Time
Skills and Experience:
Production Technology; Generalist; Software Engineer; Tools Development Engineer; Programmer; Pipeline Development Engineer; Research and Development Engineer; Developer; Rendering Engineer
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Technical Artist (Rigging) - EA SPORTS Technology
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden® NFL and College Football®, FC® soccer, NHL® hockey, and EA SPORTS UFC®.
EA SPORTS Tech provides specialized technology teams working on modern character motion, content pipelines and workflows, machine learning, game security, dev ops, long lead feature and technology development for all EA SPORTS titles, and improves Frostbite engine workflows and solutions for all in partnership with engineers. As part of EA SPORTS Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
This is a 12-month contract to begin with, with the possibility of long term employment. This team works hybrid 3 days/onsite (Tuesday, Wednesday & Thursday) at EA Vancouver.
Responsibilities:
Collaborate with Art Directors, Development Directors, Artists and Engineers to achieve the highest fidelity deformation content for EA Sports games.
Refine and improve workflows to tackle technical challenges and increase efficiency.
Leverage common technology and implement techniques to solve character animation and deformation challenges.
Partner with leadership to implement new initiatives and mentor newer artists.
Qualifications:
- 5+ years of games production experience working in technical art/rigging/animation desired (cinematic experience also considered).
- A bachelor's degree (or equivalent experience) in a related field.
- Expert knowledge designing complex skeletons, control rigs, secondary animation (fat, jiggle, muscle sim), and skin deformations.
- Strong understanding of human anatomy and animation principles.
In depth expertise with relevant 3D software packages such as Maya and Houdini.
Experience with asset optimization challenges and real-time limitations specific to character deformation.
Proficient scripting/programming in Python (C++/C# a bonus).
A willingness to jump into the unknown and solve new problems to resolve technical challenges and limitations.
Experience in working with content-driven game engines (e.g. Unreal, Unity, Frostbite) desired.
A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $115,100 - $161,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance.
EA SPORTS Tech provides specialized technology teams working on modern character motion, content pipelines and workflows, machine learning, game security, dev ops, long lead feature and technology development for all EA SPORTS titles, and improves Frostbite engine workflows and solutions for all in partnership with engineers. As part of EA SPORTS Tech, the Technical Art Team helps push visual boundaries and experiences for our players. We invest in future technologies, shared tooling, and production workflows. We combine creativity and imagination with technical expertise. We are a diverse group that encourages team members to bring their unique perspectives and expertise to work every day.
This is a 12-month contract to begin with, with the possibility of long term employment. This team works hybrid 3 days/onsite (Tuesday, Wednesday & Thursday) at EA Vancouver.
Responsibilities:
Collaborate with Art Directors, Development Directors, Artists and Engineers to achieve the highest fidelity deformation content for EA Sports games.
Refine and improve workflows to tackle technical challenges and increase efficiency.
Leverage common technology and implement techniques to solve character animation and deformation challenges.
Partner with leadership to implement new initiatives and mentor newer artists.
Qualifications:
- 5+ years of games production experience working in technical art/rigging/animation desired (cinematic experience also considered).
- A bachelor's degree (or equivalent experience) in a related field.
- Expert knowledge designing complex skeletons, control rigs, secondary animation (fat, jiggle, muscle sim), and skin deformations.
- Strong understanding of human anatomy and animation principles.
In depth expertise with relevant 3D software packages such as Maya and Houdini.
Experience with asset optimization challenges and real-time limitations specific to character deformation.
Proficient scripting/programming in Python (C++/C# a bonus).
A willingness to jump into the unknown and solve new problems to resolve technical challenges and limitations.
Experience in working with content-driven game engines (e.g. Unreal, Unity, Frostbite) desired.
A Passion for Games!
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $115,100 - $161,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, and extended health/dental/vision coverage and basic life insurance.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Film/Entertainment; Full-Time; Games
Skills and Experience:
Rigging; Art
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist-LLM System
Hide Details
SessionJob Postings
DescriptionWe are looking for a Research Scientist to design and optimize Huawei’s large model infrastructure, enabling highly efficient training, inference acceleration, and scalable deployment. This role focuses on building cutting-edge system architectures and engineering platforms that empower large model research and production at scale. You will work at the intersection of AI infrastructure, distributed systems, and high-performance computing, driving innovations that accelerate Huawei’s foundation model ecosystem.
Responsibilities:
1.Lead system-level optimizations for large model training, including but not limited to parallel strategies (PP/TP/CP), memory optimization, communication optimization, and fault tolerance in large-scale training clusters.
2.Drive inference acceleration for large models, including but not limited to fused operator optimization, parallel strategy optimization, memory optimization, communication optimization, and other parallel or mathematical optimization techniques.
3.Design, develop, and maintain large model training platforms and toolchains to provide simple, efficient, and scalable training systems for algorithm teams. This includes but is not limited to automated evaluation systems, job monitoring systems, and visualization tools.
4.Build and maintain large model inference and deployment platforms, including automated pipelines, one-click deployment systems, and data feedback systems, to enable rapid and cost-effective internal and external deployment of large models.
Responsibilities:
1.Lead system-level optimizations for large model training, including but not limited to parallel strategies (PP/TP/CP), memory optimization, communication optimization, and fault tolerance in large-scale training clusters.
2.Drive inference acceleration for large models, including but not limited to fused operator optimization, parallel strategy optimization, memory optimization, communication optimization, and other parallel or mathematical optimization techniques.
3.Design, develop, and maintain large model training platforms and toolchains to provide simple, efficient, and scalable training systems for algorithm teams. This includes but is not limited to automated evaluation systems, job monitoring systems, and visualization tools.
4.Build and maintain large model inference and deployment platforms, including automated pipelines, one-click deployment systems, and data feedback systems, to enable rapid and cost-effective internal and external deployment of large models.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Master’s degree or above in Computer Science, Electrical Engineering, or a related engineering discipline, with at least 3+ years of industry experience.
2. Solid understanding of large model AI infrastructure and system design; proficient in PP/TP/CP parallel strategies.
3. Hands-on experience with large model training and inference acceleration frameworks such as PyTorch, Megatron, vLLM, and SGLang.
4. Strong knowledge of cluster-level training optimization and inference deployment strategies on GPU/NPU hardware.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Solutions Architect - AI Infrastructure Engineer
Hide Details
SessionJob Postings
DescriptionAre you an experienced systems architect with an interest in advancing artificial intelligence (AI) and high-performance computing (HPC) in academic and research environments? We are looking for a Solutions Architect to join the higher education and research team! In this role you will work with universities and research institutions to optimize the design and deployment of AI infrastructure. Our team applies expertise in accelerated software and hardware systems to help enable groundbreaking advancements in AI, deep learning, and scientific research. This role requires a strong background in building and deploying research computing clusters, deploying AI and HPC workloads, and optimizing system performance at scale.
What you’ll be doing:
Collaborate as a key technical advisor for the design, build-out, and optimization of university-level research computing infrastructures powering GPU-accelerated scientific workflows
Work with university research computing to optimize hardware utilization with software orchestration tools such as NVIDIA Base Command, Kubernetes, Slurm, and Jupyter notebook environments
Implement systems monitoring and management tools to help optimize resource utilization, and gain insight into most demanding application workloads at research computing centers
Document what you learn. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a researcher on a whiteboard
Collaborate with researchers to gather feature requests and product feedback for product and engineering teams
What we need to see:
BS/MS/PhD in Engineering, Mathematics, Physical Sciences, or Computer Science (or equivalent experience).
8+ years of relevant work experience
Strong experience in designing and deploying GPU-accelerated computing infrastructure
In-depth knowledge of cluster orchestration and job scheduling technologies, e.g. Slurm, Kubernetes, Ansible and/or Open OnDemand
Experience with container tools (Docker, Singularity) including at-scale deployment of containerized environments
Expertise in systems monitoring, telemetry, and systems performance optimization of research computing environments. Familiarity with tools such as Prometheus, Grafana, and NVIDIA DCGM
Understanding of datacenter networking technologies (InfiniBand, Ethernet, OFED) and experience with network configuration
Familiarity with power and cooling systems architecture for data center infrastructure
Ways to stand out from the crowd:
Background in deploying LLM training and inference workflows in a research computing environment
Experience deploying and evaluating cluster performance using benchmarks such as MLPerf and/or HPL.
Experience in delivering technical training, workshops, or mentoring researchers on using HPC/AI systems.
Applications and systems-level knowledge of OpenMPI and NCCL
Experience with debugging and profiling tools. E.g. Nsight Systems, Nsight Compute, Compute Sanitizer, GDB or Valgrind
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What you’ll be doing:
Collaborate as a key technical advisor for the design, build-out, and optimization of university-level research computing infrastructures powering GPU-accelerated scientific workflows
Work with university research computing to optimize hardware utilization with software orchestration tools such as NVIDIA Base Command, Kubernetes, Slurm, and Jupyter notebook environments
Implement systems monitoring and management tools to help optimize resource utilization, and gain insight into most demanding application workloads at research computing centers
Document what you learn. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a researcher on a whiteboard
Collaborate with researchers to gather feature requests and product feedback for product and engineering teams
What we need to see:
BS/MS/PhD in Engineering, Mathematics, Physical Sciences, or Computer Science (or equivalent experience).
8+ years of relevant work experience
Strong experience in designing and deploying GPU-accelerated computing infrastructure
In-depth knowledge of cluster orchestration and job scheduling technologies, e.g. Slurm, Kubernetes, Ansible and/or Open OnDemand
Experience with container tools (Docker, Singularity) including at-scale deployment of containerized environments
Expertise in systems monitoring, telemetry, and systems performance optimization of research computing environments. Familiarity with tools such as Prometheus, Grafana, and NVIDIA DCGM
Understanding of datacenter networking technologies (InfiniBand, Ethernet, OFED) and experience with network configuration
Familiarity with power and cooling systems architecture for data center infrastructure
Ways to stand out from the crowd:
Background in deploying LLM training and inference workflows in a research computing environment
Experience deploying and evaluating cluster performance using benchmarks such as MLPerf and/or HPL.
Experience in delivering technical training, workshops, or mentoring researchers on using HPC/AI systems.
Applications and systems-level knowledge of OpenMPI and NCCL
Experience with debugging and profiling tools. E.g. Nsight Systems, Nsight Compute, Compute Sanitizer, GDB or Valgrind
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, MA, Remote US, IN, Remote US, TN, Remote US, IL, Remote US, NY, Remote
In-Person:
Remote; Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist, Spatial Intelligence - New College Grad 2025
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SessionJob Postings
DescriptionNVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.
What you will be doing:
Develop and optimize diffusion-based generative models for high-fidelity, controllable image/video synthesis.
Design scalable architectures that reduce inference latency and enable real-time or interactive generation workflows.
Contribute to fundamental research and publish in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, or SIGGRAPH.
Collaborate across teams to integrate research into simulation systems, digital avatars, robotics, and other NVIDIA platforms.
What we need to see:
PhD or equivalent experience in Computer Science, Computer Vision, Machine Learning, or a related field.
Strong foundation in generative models.
Experience with Python and PyTorch, and large-scale model training workflows.
Ability to conduct independent research and communicate findings clearly.
Passion for innovation in vision AI and a drive to see ideas move from research to impact.
Ways to stand out from the crowd:
Skills in efficient model architectures and efficient implementations.
Sharp mathematics skills.
Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and have a passion to impact the world? If so, apply today!
What you will be doing:
Develop and optimize diffusion-based generative models for high-fidelity, controllable image/video synthesis.
Design scalable architectures that reduce inference latency and enable real-time or interactive generation workflows.
Contribute to fundamental research and publish in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, or SIGGRAPH.
Collaborate across teams to integrate research into simulation systems, digital avatars, robotics, and other NVIDIA platforms.
What we need to see:
PhD or equivalent experience in Computer Science, Computer Vision, Machine Learning, or a related field.
Strong foundation in generative models.
Experience with Python and PyTorch, and large-scale model training workflows.
Ability to conduct independent research and communicate findings clearly.
Passion for innovation in vision AI and a drive to see ideas move from research to impact.
Ways to stand out from the crowd:
Skills in efficient model architectures and efficient implementations.
Sharp mathematics skills.
Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and have a passion to impact the world? If so, apply today!
Location
Toronto, Canada
In-Person:
Onsite
Description of Position:
PhD; Software; Full-Time; Desired Level of Education: Master’s degree
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Gameplay Software Engineer - EA SPORTS
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SessionJob Postings
DescriptionEA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
The Gameplay Team is at the core of the user experience. It is the strength of our franchise and is valued tremendously in the company. We attract passionate team members and make sure they stick around by providing support and growth opportunities. Gameplay SEs are much more involved in design than typical SEs, because even though high-level designs are provided by designers, details need to be implemented by the SEs. You will report to the Development Director of Gameplay.
Our workflow and supporting tools are advanced and allow us to work and iterate quickly, which in turn allows us to see our code changes directly in the game without much delay. Fixing gameplay bugs and seeing your code in action on the virtual pitch in a matter of minutes is an extremely satisfying experience.
Your Responsibilities:
- Bring the vision of the artists and designers to life.
- Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code
- Prototype new mechanics to prove designs and improve on mechanics.
- Design technical designs for Gameplay systems.
- Develop tools and workflows to produce new game features.
- Work with a proprietary engine to develop shareable code and interface correctly with the engine.
Your Qualifications:
- Bachelor's degree in computer science or related field, or equivalent training and professional experience
- Proficiency with C++ and experience in object-oriented design and implementation
- Experience architecting and implementing A.I., character control, multiplayer, or other gameplay-related systems
- Demonstrated knowledge of good software programming practices
- Understanding of multithreaded architectures and synchronization principles
- Excellent debugging experience using tools to help debug
- Understand performance implication of Gameplay systems & algorithms and how to improve.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
The Gameplay Team is at the core of the user experience. It is the strength of our franchise and is valued tremendously in the company. We attract passionate team members and make sure they stick around by providing support and growth opportunities. Gameplay SEs are much more involved in design than typical SEs, because even though high-level designs are provided by designers, details need to be implemented by the SEs. You will report to the Development Director of Gameplay.
Our workflow and supporting tools are advanced and allow us to work and iterate quickly, which in turn allows us to see our code changes directly in the game without much delay. Fixing gameplay bugs and seeing your code in action on the virtual pitch in a matter of minutes is an extremely satisfying experience.
Your Responsibilities:
- Bring the vision of the artists and designers to life.
- Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code
- Prototype new mechanics to prove designs and improve on mechanics.
- Design technical designs for Gameplay systems.
- Develop tools and workflows to produce new game features.
- Work with a proprietary engine to develop shareable code and interface correctly with the engine.
Your Qualifications:
- Bachelor's degree in computer science or related field, or equivalent training and professional experience
- Proficiency with C++ and experience in object-oriented design and implementation
- Experience architecting and implementing A.I., character control, multiplayer, or other gameplay-related systems
- Demonstrated knowledge of good software programming practices
- Understanding of multithreaded architectures and synchronization principles
- Excellent debugging experience using tools to help debug
- Understand performance implication of Gameplay systems & algorithms and how to improve.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Games
Skills and Experience:
Generalist; Tools Development Engineer; Research and Development Engineer; Pipeline Development Engineer; Rendering Engineer
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
AI Research Scientist-Foundation Model Algorithms
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SessionJob Postings
DescriptionWe are looking for a strategic technical leader to drive the development of the next generation of Huawei’s foundation models. This role focuses on algorithmic breakthroughs in large-scale models across NLP, multimodal, CV, and domain-specific verticals (e.g., document understanding, remote sensing, 3D).
You will lead research and engineering in model architecture, training methods, cross-modal alignment, in-context learning, hallucination mitigation, search augmentation, and agentic reasoning—driving capability from core (L0) infrastructure to application-level (L1) delivery.
Responsibilities:
1. Lead algorithm R&D for foundation models in NLP, vision, and multimodal domains (e.g., natural images, documents, 3D, OCR, remote sensing).
2. Drive innovation in key technical directions including encoder design, modality alignment, scalable training, prompt-based learning, hallucination control, search-augmented modeling, and agent-enablement.
3. Guide horizontal capability building at the L0 level and support model performance optimization and delivery in L1-level industry applications.
4. Interface with customers and internal stakeholders to gather requirements, define technical paths, and ensure model effectiveness aligns with business goals.
5. Contribute to roadmap planning, technical foresight, academic collaboration, and external technology scouting for NLP and multimodal models.
You will lead research and engineering in model architecture, training methods, cross-modal alignment, in-context learning, hallucination mitigation, search augmentation, and agentic reasoning—driving capability from core (L0) infrastructure to application-level (L1) delivery.
Responsibilities:
1. Lead algorithm R&D for foundation models in NLP, vision, and multimodal domains (e.g., natural images, documents, 3D, OCR, remote sensing).
2. Drive innovation in key technical directions including encoder design, modality alignment, scalable training, prompt-based learning, hallucination control, search-augmented modeling, and agent-enablement.
3. Guide horizontal capability building at the L0 level and support model performance optimization and delivery in L1-level industry applications.
4. Interface with customers and internal stakeholders to gather requirements, define technical paths, and ensure model effectiveness aligns with business goals.
5. Contribute to roadmap planning, technical foresight, academic collaboration, and external technology scouting for NLP and multimodal models.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Deep understanding of the architecture, training, evaluation, and deployment of foundation models in NLP, CV, or multimodal AI.
2. Proven expertise in one or more verticals: classification, detection, segmentation, VLP, OCR, remote sensing, or 3D understanding.
3. Hands-on experience with model pretraining, fine-tuning, performance diagnosis, and architecture optimization (e.g., CNNs, Transformers).
4. Strong track record of driving core model R&D for mainstream products, with leadership in pre-research, architecture design, or technical delivery.
5. Demonstrated experience in scaling models from research to real-world applications, with deep insights into bottlenecks, evaluation, and business alignment.
6. Publications in top-tier conferences or journals are a strong plus (NeurIPS,SIGGRAPH,ICLR,ICML,CVPR etc).
·
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior System Software Bringup Engineer
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SessionJob Postings
DescriptionNVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “The AI Computing Company.” We're looking to grow our company and establish teams with the most thoughtful people in the world.
NVIDIA HGX, MGX and DGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale. With their end-to-end performance and flexibility, these systems enable researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress on the most powerful end-to-end AI supercomputing platforms. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
Lead and drive system bringup for GPU-centric server platforms in factory and data center environments.
Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations.
Collaborate cross-functionally with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp.
Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design.
Use AI tools to automate functionality and improve automation.
Troubleshoot at speed of light, working closely with system bring-up teams on next generation AI systems to debug and resolve issues during bringup and deployment.
What we need to see:
10+ years of experience in data center firmware/platform software development.
BS, MS, or PhD in EE, CS, or related technical field (or equivalent experience).
Deep, hands-on expertise of working with ODMs/CSPs, firmware update design and out-of-band management.
Proven track record of architecting and developing server firmware and diagnostic solutions for large-scale data center deployments.
Solid knowledge of hardware interfaces (USB, SMBus/I2C, PCIe) and protocols such as Redfish, MCTP, and PLDM.
Solid knowledge of debugging servers for early bring up.
Advanced skills in C/C++ and Python, with a hands-on approach to coding and debugging during hardware bring-up.
Strong communicator, excellent collaborator, and committed team player.
Self-starter with a problem-solving mindset who thrives in a fast-paced, complex technical environment.
Ways to stand out from the crowd:
Hands-on experience with ODMs/CSPs during system bring-up and volume deployment.
Deep familiarity with x86 or ARM system architecture.
Strong networking expertise with high-speed NICs, including bring-up and configuration in factory environment.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA HGX, MGX and DGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale. With their end-to-end performance and flexibility, these systems enable researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress on the most powerful end-to-end AI supercomputing platforms. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
Lead and drive system bringup for GPU-centric server platforms in factory and data center environments.
Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations.
Collaborate cross-functionally with data center architects, ODMs, and OEMs to define factory and data center requirements that ensure efficient and reliable production ramp.
Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design.
Use AI tools to automate functionality and improve automation.
Troubleshoot at speed of light, working closely with system bring-up teams on next generation AI systems to debug and resolve issues during bringup and deployment.
What we need to see:
10+ years of experience in data center firmware/platform software development.
BS, MS, or PhD in EE, CS, or related technical field (or equivalent experience).
Deep, hands-on expertise of working with ODMs/CSPs, firmware update design and out-of-band management.
Proven track record of architecting and developing server firmware and diagnostic solutions for large-scale data center deployments.
Solid knowledge of hardware interfaces (USB, SMBus/I2C, PCIe) and protocols such as Redfish, MCTP, and PLDM.
Solid knowledge of debugging servers for early bring up.
Advanced skills in C/C++ and Python, with a hands-on approach to coding and debugging during hardware bring-up.
Strong communicator, excellent collaborator, and committed team player.
Self-starter with a problem-solving mindset who thrives in a fast-paced, complex technical environment.
Ways to stand out from the crowd:
Hands-on experience with ODMs/CSPs during system bring-up and volume deployment.
Deep familiarity with x86 or ARM system architecture.
Strong networking expertise with high-speed NICs, including bring-up and configuration in factory environment.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Santa Clara US, Remote
In-Person:
Remote; Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior AI Observability Engineer
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SessionJob Postings
DescriptionNVIDIA’s AI Infrastructure organization is seeking a Senior AI Observability Engineer to help architect and implement distributed observability systems for AI and HPC clusters. We serve and collaborate directly with NVIDIA’s rapidly growing AI, HW, and SW engineering and research teams across the company. You will be working with a team of dedicated engineers on systems for data collection, aggregation, enrichment, storage, retrieval, and visualization to spectacularly improve efficiency, performance, and productivity of AI and HPC workloads. You will develop, deploy, and operate observability solutions for multiple compute clusters around the world.
What You’ll Be Doing:
Collaborate with AI, HW, SW engineering and research teams to deliver observability solutions that meet their needs in AI/HPC clusters.
Develop, test, and deploy data collectors, pipelines, visualization and retrieval services.
Build a self-serve platform
Define data collection and retention policies to balance network bandwidth, system load, and storage capacity costs with data analysis requirements.
Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency.
Continuously improve quality, workloads, and processes through better observability.
What We Need to See:
Experience developing large scale, distributed observability systems.
Ability to collaborate with data scientists, researchers, and engineering teams to identify high value data for collection and analysis.
Experience with turning raw data into actionable reports
Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools
Python programming experience and use of API calls
Passion for improving the productivity of others
Excellent planning and interpersonal skills
Flexibility/adaptability working in a dynamic environment with changing requirements
MS (preferred) or BS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
8+ yrs of proven experience.
Ways To Stand Out from The Crowd:
Practical experience in machine learning, deep learning, open-source software, infrastructure technologies, and GPU technology.
Prior experience in infrastructure software, production application software development, software development, release and support methodology and DevOps
Experience in the management of datacenters and large-scale distributed computing
Experience working with AI researchers and/or EDA developers
Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What You’ll Be Doing:
Collaborate with AI, HW, SW engineering and research teams to deliver observability solutions that meet their needs in AI/HPC clusters.
Develop, test, and deploy data collectors, pipelines, visualization and retrieval services.
Build a self-serve platform
Define data collection and retention policies to balance network bandwidth, system load, and storage capacity costs with data analysis requirements.
Work in a diverse team to provide operational and strategic data to empower our engineers and researchers to improve performance, productivity, and efficiency.
Continuously improve quality, workloads, and processes through better observability.
What We Need to See:
Experience developing large scale, distributed observability systems.
Ability to collaborate with data scientists, researchers, and engineering teams to identify high value data for collection and analysis.
Experience with turning raw data into actionable reports
Experience with observability platforms such as Apache Spark, Elastic/Open Search, Grafana, Prometheus, and other similar open-source tools
Python programming experience and use of API calls
Passion for improving the productivity of others
Excellent planning and interpersonal skills
Flexibility/adaptability working in a dynamic environment with changing requirements
MS (preferred) or BS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
8+ yrs of proven experience.
Ways To Stand Out from The Crowd:
Practical experience in machine learning, deep learning, open-source software, infrastructure technologies, and GPU technology.
Prior experience in infrastructure software, production application software development, software development, release and support methodology and DevOps
Experience in the management of datacenters and large-scale distributed computing
Experience working with AI researchers and/or EDA developers
Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Santa Clara US, WA, Remote US, WA, Seattle
In-Person:
Remote; Onsite
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Animation Engineer - American Football
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC soccer, NHL® hockey, and EA SPORTS UFC.
Reporting to a Senior Engineering Manager, as a Senior Animation Engineer, you will design and implement technical animation solutions to support networked game mechanics for a fast-paced, action oriented multiplayer sports game. You will be a key contributor in solving the animation challenges represented by a low input latency, sim-driven, contact sports game.
Your Responsibilities:
- Architect and implement animation strategies for time sensitive gameplay mechanics in a responsive, multiplayer game in collaboration with engineers, animators, and designers.
- Work with engineering teams to implement core animation systems and gameplay features.
- Work directly with animators to debug and improve animation workflows.
- Share domain knowledge and mentor engineers within their team.
- Design, implement and document technology and strategies to help develop games mechanics in a multiplayer environment by other team members.
- Oversee features and collaborate with team members to solve problems.
Your Qualifications
- 10+ years' experience in software development with a C++ focus and proficiency in C#.
- Shipped action games as an important contributor in animation pipelines and associated systems, such as: melee combat, sports or sports adjacent.
- Familiarity with runtime inverse-kinematic systems.
- Experience developing in and debugging multi-threaded/concurrent/simultaneous multiplayer architectures.
- Experience with Visual Studio and knowledge of the debugging tools and profilers.
Bonus:
- Experience with motion matching.
- Experience using animation as a latency hiding technique in a multiplayer game.
- Shipped fast-paced multiplayer melee combat game, or similar.
- Experience with network architecture of MMO games.
- Experience working with Microsoft, Sony, or Nintendo game consoles.
- Experience working with iOS and Android.
- Experience developing large-scale multiplayer games.
- Experience with Frostbite, Unreal or Unity.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $133,400 - $193,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Reporting to a Senior Engineering Manager, as a Senior Animation Engineer, you will design and implement technical animation solutions to support networked game mechanics for a fast-paced, action oriented multiplayer sports game. You will be a key contributor in solving the animation challenges represented by a low input latency, sim-driven, contact sports game.
Your Responsibilities:
- Architect and implement animation strategies for time sensitive gameplay mechanics in a responsive, multiplayer game in collaboration with engineers, animators, and designers.
- Work with engineering teams to implement core animation systems and gameplay features.
- Work directly with animators to debug and improve animation workflows.
- Share domain knowledge and mentor engineers within their team.
- Design, implement and document technology and strategies to help develop games mechanics in a multiplayer environment by other team members.
- Oversee features and collaborate with team members to solve problems.
Your Qualifications
- 10+ years' experience in software development with a C++ focus and proficiency in C#.
- Shipped action games as an important contributor in animation pipelines and associated systems, such as: melee combat, sports or sports adjacent.
- Familiarity with runtime inverse-kinematic systems.
- Experience developing in and debugging multi-threaded/concurrent/simultaneous multiplayer architectures.
- Experience with Visual Studio and knowledge of the debugging tools and profilers.
Bonus:
- Experience with motion matching.
- Experience using animation as a latency hiding technique in a multiplayer game.
- Shipped fast-paced multiplayer melee combat game, or similar.
- Experience with network architecture of MMO games.
- Experience working with Microsoft, Sony, or Nintendo game consoles.
- Experience working with iOS and Android.
- Experience developing large-scale multiplayer games.
- Experience with Frostbite, Unreal or Unity.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
* British Columbia (depending on location e.g. Vancouver vs. Victoria) * $133,400 - $193,200 CAD
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Orlando | Victoria
In-Person:
Hybrid
Description of Position:
Full-Time
Skills and Experience:
Software Engineering; Production Technology; Generalist; Software Engineer; Tools Development Engineer; Art; Programmer; Pipeline Development Engineer; Animation; Research and Development Engineer; Developer; Rendering Engineer; Art
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist-Image Processing and Algorithm Design
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SessionJob Postings
DescriptionWe are looking for a visionary expert in image processing and computational photography to join Huawei’s imaging R&D team. As the imaging industry is rapidly evolving under the influence of AIGC, this role will focus on leveraging large models to revolutionize photo capture, editing, enhancement, and post-processing—establishing industry-defining breakthroughs in user experience and visual quality.
This is a strategic position aimed at driving next-generation imaging competitiveness, with opportunities for collaboration across academic and industry partners.
Responsibilities:
1. Architect and lead the development of core algorithms for next-generation image processing across the entire pipeline—from image acquisition to post-processing—by harnessing the capabilities of AIGC and multimodal large models.
2. Drive the resolution of critical challenges in image quality, perceptual aesthetics, and user interaction by introducing innovative, AI-native solutions with disruptive potential.
3. Maintain deep insight into emerging trends in computational photography and generative vision technologies; define and execute technical roadmaps that lead the industry by a full generation.
4. Translate cutting-edge research into production-ready systems that deliver tangible product value and exceptional user experiences at scale.
5. Build and sustain strategic collaborations with leading academic and industrial institutions to foster talent development and advance Huawei’s leadership in AI-powered imaging.
This is a strategic position aimed at driving next-generation imaging competitiveness, with opportunities for collaboration across academic and industry partners.
Responsibilities:
1. Architect and lead the development of core algorithms for next-generation image processing across the entire pipeline—from image acquisition to post-processing—by harnessing the capabilities of AIGC and multimodal large models.
2. Drive the resolution of critical challenges in image quality, perceptual aesthetics, and user interaction by introducing innovative, AI-native solutions with disruptive potential.
3. Maintain deep insight into emerging trends in computational photography and generative vision technologies; define and execute technical roadmaps that lead the industry by a full generation.
4. Translate cutting-edge research into production-ready systems that deliver tangible product value and exceptional user experiences at scale.
5. Build and sustain strategic collaborations with leading academic and industrial institutions to foster talent development and advance Huawei’s leadership in AI-powered imaging.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Master’s degree or above with expereience in Computer Vision, Machine Learning, or related disciplines (Ph.D. preferred).
2. Strong background in image generation, editing, restoration, and video understanding; hands-on experience in building models for real-world deployment.
3. Proficiency in multimodal vision-language models, generative diffusion models, and foundational AIGC methods.
4. Solid theoretical foundation in CV and ML, with practical experience in applying state-of-the-art techniques to production-scale applications.
5. Track record of excellence in either top-tier industry settings or world-class academic research.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Visual Effects Artist
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SessionJob Postings
DescriptionEA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC soccer, NHL® hockey, and EA SPORTS UFC.
The Role:
You will support American Football within EA SPORTS. EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling video game franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sports through industry-leading sports video games.
We are seeking a highly skilled Visual Effects (VFX) Director to join our dynamic team. The ideal candidate will possess a deep understanding of the motion and mathematics that drive physical phenomena, allowing them to create sophisticated and innovative FX.
Your Responsibilities:
- Develop and implement advanced visual effects with a deep understanding of physical phenomena.
- Utilize advanced knowledge of compositing and multiple 3D FX software packages.
- Collaborate with senior team members across multiple studios to ensure visual consistency across products.
- Work closely with engineers to establish and manage VFX performance budgets, ensuring compliance throughout the project.
- Take accountability for the overall FX performance across titles.
- Coordinate the VFX pipeline at an expert level, identifying and resolving any issues.
- Foster open communication and collaboration across departments and studios to maintain and improve VFX workflows and pipelines, while also defining innovative solutions.
Your Qualifications:
- Proven experience in creating high-quality visual effects in a collaborative environment.
- Strong problem-solving skills and ability to manage complex projects.
- Excellent communication skills to maintain effective collaboration across diverse teams.
- Join us to push the boundaries of what's possible in visual effects and create stunning experiences for our audiences.
*Please note: this role requires on-site work at the Orlando, FL studio. Remote work is not available.
**A Demo reel or accessible online work portfolio (link) is required.
The Role:
You will support American Football within EA SPORTS. EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling video game franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sports through industry-leading sports video games.
We are seeking a highly skilled Visual Effects (VFX) Director to join our dynamic team. The ideal candidate will possess a deep understanding of the motion and mathematics that drive physical phenomena, allowing them to create sophisticated and innovative FX.
Your Responsibilities:
- Develop and implement advanced visual effects with a deep understanding of physical phenomena.
- Utilize advanced knowledge of compositing and multiple 3D FX software packages.
- Collaborate with senior team members across multiple studios to ensure visual consistency across products.
- Work closely with engineers to establish and manage VFX performance budgets, ensuring compliance throughout the project.
- Take accountability for the overall FX performance across titles.
- Coordinate the VFX pipeline at an expert level, identifying and resolving any issues.
- Foster open communication and collaboration across departments and studios to maintain and improve VFX workflows and pipelines, while also defining innovative solutions.
Your Qualifications:
- Proven experience in creating high-quality visual effects in a collaborative environment.
- Strong problem-solving skills and ability to manage complex projects.
- Excellent communication skills to maintain effective collaboration across diverse teams.
- Join us to push the boundaries of what's possible in visual effects and create stunning experiences for our audiences.
*Please note: this role requires on-site work at the Orlando, FL studio. Remote work is not available.
**A Demo reel or accessible online work portfolio (link) is required.
Location
Orlando
In-Person:
Hybrid
Description of Position:
Film/Entertainment; Full-Time; Games
Skills and Experience:
FX; Art; Art
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Solutions Architect, HPC and Generative AI Deployment
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SessionJob Postings
DescriptionNVIDIA is seeking outstanding Solutions Architects to assist and support customers that are building solutions with our newest High Performance Computing (HPC) and Artificial Intelligence (AI) technologies. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects focused on HPC and GenAI. You will also collaborate with a diverse set of scientific researchers and developers at Universities and Research Institutions. You should be comfortable working in a dynamic environment, and have experience with HPC, GenAI and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
What You Will Be Doing
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
Strategically partnering with lighthouse customers and researchers to help them adopt and build creative solutions using NVIDIA technology
Analyzing performance and power efficiency of AI workloads on Kubernetes
Some travel to conferences and customers is required for this role
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ years of hands-on experience with accelerated computing and deep Learning frameworks such as PyTorch
Experience porting and/or optimizing scientific applications targeting GPUs
Strong fundamentals in programming and software design, especially in Python and C++
Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
Excellent knowledge of theory and practice of AI at scale
Excellent presentation, communication and collaboration skills
Ways To Stand Out From The Crowd
Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience working with academic research community supporting HPC or AI
Familiarity with distributed computing platforms, containers and scheduling tools
Prior experience with DL training at scale, deploying or optimizing DL inference in production
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What You Will Be Doing
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
Strategically partnering with lighthouse customers and researchers to help them adopt and build creative solutions using NVIDIA technology
Analyzing performance and power efficiency of AI workloads on Kubernetes
Some travel to conferences and customers is required for this role
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
8+ years of hands-on experience with accelerated computing and deep Learning frameworks such as PyTorch
Experience porting and/or optimizing scientific applications targeting GPUs
Strong fundamentals in programming and software design, especially in Python and C++
Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
Excellent knowledge of theory and practice of AI at scale
Excellent presentation, communication and collaboration skills
Ways To Stand Out From The Crowd
Experience with NVIDIA GPUs and parallel programming libraries, such as CUDA, OpenMP, OpenACC, communication libraries and runtime (MPI, NCCL, UCX, NVSHMEM)
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience working with academic research community supporting HPC or AI
Familiarity with distributed computing platforms, containers and scheduling tools
Prior experience with DL training at scale, deploying or optimizing DL inference in production
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
locations US, CA, Santa Clara US, IL, Remote US, CA, Remote US, NY, Remote US, MA, Remote
In-Person:
Remote; Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Principal Platform Architect, Agentic AI
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SessionJob Postings
DescriptionNVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What You’ll Be Doing:
Play key role in design, development, and deployment of large-scale high-performance enterprise ready agent frameworks and tools..
Collaborate with engineering and applied AI teams to understand specific needs and challenges of chip design and ensure our agent platform is well-suited to these needs
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
Collect & organize training / fine-tuning data and help build domain specific large language models.
Optimize infrastructure for performance, scalability, and reliability, and ensure secure and efficient management of data.
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
15+ years of proven industry experience
Skilled at rapidly taking products from concept to launch and scaling them massively by performance tuning and optimizing complex, globally distributed systems
Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration and real-time processing frameworks.
Strong proficiency in Python, JavaScript, CI/CD, Kubernetes, Message broker architectures, data pipelines, test driven development.
Strong proficiency in agentic LLM Libraries/ Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, Knowledge Graphs, etc.
Hands-on experience developing large-scale web applications and REST APIs, & familiarity with SQL and NoSQL databases.
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
An excellent plus if you are familiar with front-end development using React or Vue.js
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What You’ll Be Doing:
Play key role in design, development, and deployment of large-scale high-performance enterprise ready agent frameworks and tools..
Collaborate with engineering and applied AI teams to understand specific needs and challenges of chip design and ensure our agent platform is well-suited to these needs
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
Collect & organize training / fine-tuning data and help build domain specific large language models.
Optimize infrastructure for performance, scalability, and reliability, and ensure secure and efficient management of data.
Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
What we need to see:
Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
15+ years of proven industry experience
Skilled at rapidly taking products from concept to launch and scaling them massively by performance tuning and optimizing complex, globally distributed systems
Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration and real-time processing frameworks.
Strong proficiency in Python, JavaScript, CI/CD, Kubernetes, Message broker architectures, data pipelines, test driven development.
Strong proficiency in agentic LLM Libraries/ Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, Knowledge Graphs, etc.
Hands-on experience developing large-scale web applications and REST APIs, & familiarity with SQL and NoSQL databases.
A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.
An excellent plus if you are familiar with front-end development using React or Vue.js
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Santa Clara
In-Person:
Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Online Software Engineer - EA SPORTS
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SessionJob Postings
DescriptionElectronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
The Online Software Engineer will help build networked gameplay experiences. We are looking for engineers who enjoy prototyping and planning, adding amazing new features to an existing and beloved game, and improving existing code. You will report to the Operations Development Director and Technical Lead to estimate, build projects and provide excellent results.
Your Responsibilities:
- Use EA's Digital Platform technologies to implement server features and components.
- Create client code to support features and improve multiplayer experiences.
- Improve client and server online systems to improve latency, reliability, scalability, performance, and memory.
- Design and improve on architecture and infrastructure improvements for live systems and workflows.
- Work with partner teams to stand up and maintain online infrastructure and services for the title.
Your Qualifications
- 3+ years of experience in software development with a C++ focus.
- 5+ years of experience with networked applications or features (client/server and peer-to-peer).
- 3+ years of experience developing in and debugging multi-threaded/concurrent architectures.
- Familiarity with database technologies (e.g. MySQL, SQL, Redis).
- Knowledge of networking protocols (e.g. TCP/IP, UDP).
- Bachelor's degree in computer science or related field, or equivalent training and professional experience
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
The Online Software Engineer will help build networked gameplay experiences. We are looking for engineers who enjoy prototyping and planning, adding amazing new features to an existing and beloved game, and improving existing code. You will report to the Operations Development Director and Technical Lead to estimate, build projects and provide excellent results.
Your Responsibilities:
- Use EA's Digital Platform technologies to implement server features and components.
- Create client code to support features and improve multiplayer experiences.
- Improve client and server online systems to improve latency, reliability, scalability, performance, and memory.
- Design and improve on architecture and infrastructure improvements for live systems and workflows.
- Work with partner teams to stand up and maintain online infrastructure and services for the title.
Your Qualifications
- 3+ years of experience in software development with a C++ focus.
- 5+ years of experience with networked applications or features (client/server and peer-to-peer).
- 3+ years of experience developing in and debugging multi-threaded/concurrent architectures.
- Familiarity with database technologies (e.g. MySQL, SQL, Redis).
- Knowledge of networking protocols (e.g. TCP/IP, UDP).
- Bachelor's degree in computer science or related field, or equivalent training and professional experience
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Skills and Experience:
Generalist; Tools Development Engineer; Software Engineer; Programmer; Pipeline Development Engineer; Research and Development Engineer; Developer; Rendering Engineer
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist-Video Understanding and Generation
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SessionJob Postings
DescriptionWe are seeking a senior Research Scientist in video understanding and generation to lead next-generation research and development in intelligent media computing. With the rise of foundation models, video has become a critical modality for human–machine interaction, immersive content creation, and commercial applications such as smart advertising and large-screen experiences.
You will work on redefining how machines perceive, reason about, and generate video content—with a focus on delivering both technical breakthroughs and business impact.
Responsibilities:
1. Lead the architecture and development of core algorithms for video understanding, editing, and generation across key application scenarios.
2. Identify technical bottlenecks and opportunities for innovation in areas such as temporal representation, visual consistency, semantic editing, and content control.
3. Design and validate novel approaches for large-granularity video content generation, helping to establish new product experiences and differentiation.
4. Stay ahead of industry trends in video AI, foundation models, and generative technologies; define mid-to-long term strategies for competitive advantage.
You will work on redefining how machines perceive, reason about, and generate video content—with a focus on delivering both technical breakthroughs and business impact.
Responsibilities:
1. Lead the architecture and development of core algorithms for video understanding, editing, and generation across key application scenarios.
2. Identify technical bottlenecks and opportunities for innovation in areas such as temporal representation, visual consistency, semantic editing, and content control.
3. Design and validate novel approaches for large-granularity video content generation, helping to establish new product experiences and differentiation.
4. Stay ahead of industry trends in video AI, foundation models, and generative technologies; define mid-to-long term strategies for competitive advantage.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
Full-Time; PhD
Other Skills or Experience:
1. Strong technical background in computer vision, deep learning, or related fields, with proven expertise in video analysis, generation, or editing.
2. Solid understanding of temporal modeling, scene understanding, video restoration, or generative techniques (e.g., GANs, transformers, diffusion models).
3. Familiarity with the application of large models (e.g., visual transformers, foundation models) to video data.
4. Experience bridging research and product, with a demonstrated ability to convert core technologies into commercial success.
5. PhD or equivalent experience in computer vision, machine learning, or video AI.
6. A strong record of publications, patents, or shipped products in video-related areas (e.g., CVPR, ICCV, SIGGRAPH, NeurIPS, etc.).
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Software Engineer, CUDA-Q Libraries
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SessionJob Postings
DescriptionNVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in real-time systems, GPU-programming, and is proficient in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering and high-performance algorithm implementation, and relish the chance to impact the future of the industry, this role may be perfect for you.
What You'll Be Doing:
Identifying and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
Solving difficult problems at the intersection of HPC and quantum computing to enable ground-breaking research and technology
Improving processes and infrastructure to accelerate our development
What We Need To See:
Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 5+ years of relevant work experience; Ph.D. or Masters preferred.
C/C++ proficiency is required
Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs.
Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
Experience building performant and robust production software on large-scale hardware and software projects
Strong communication and collaboration skills
Ways To Stand Out From The Crowd:
Experience with quantum computing hardware and control systems
Domain knowledge of Quantum Error Correction and/or prior experience implementing decoding algorithms
A demonstrated history of software optimizations of real-time systems and a focus on improving extensibility
NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What You'll Be Doing:
Identifying and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
Solving difficult problems at the intersection of HPC and quantum computing to enable ground-breaking research and technology
Improving processes and infrastructure to accelerate our development
What We Need To See:
Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 5+ years of relevant work experience; Ph.D. or Masters preferred.
C/C++ proficiency is required
Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs.
Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
Experience building performant and robust production software on large-scale hardware and software projects
Strong communication and collaboration skills
Ways To Stand Out From The Crowd:
Experience with quantum computing hardware and control systems
Domain knowledge of Quantum Error Correction and/or prior experience implementing decoding algorithms
A demonstrated history of software optimizations of real-time systems and a focus on improving extensibility
NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, CA, Remote US, TX, Remote US, WA, Remote US, MA, Remote
In-Person:
Remote; Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
AI Software Engineer
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SessionJob Postings
DescriptionWe are looking for an AI software engineer to design, develop, and deliver next-generation AI products and systems. This role focuses on AI software engineering and productization, driving innovation across algorithms, systems, and toolchains in areas such as large models, generative AI, computer vision, autonomous driving, intelligent decision-making, and recommendation systems.
Responsibilities
1. Lead software engineering and product development for AI-related applications and platforms.
Design and implement AI algorithms and systems, including but not limited to neural networks, machine learning, computer vision, autonomous driving, path planning, intelligent decision-making, recommendation systems, large models, and generative AI.
2. Develop toolchains, integrate software modules, and conduct debugging and performance tuning.
Monitor industry trends in AI, including large models, generative AI, and AI for coding, and evaluate their potential impact on products and platforms.
Responsibilities
1. Lead software engineering and product development for AI-related applications and platforms.
Design and implement AI algorithms and systems, including but not limited to neural networks, machine learning, computer vision, autonomous driving, path planning, intelligent decision-making, recommendation systems, large models, and generative AI.
2. Develop toolchains, integrate software modules, and conduct debugging and performance tuning.
Monitor industry trends in AI, including large models, generative AI, and AI for coding, and evaluate their potential impact on products and platforms.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Undergraduate degree; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, or related fields, with experience in at least one large-scale software project and independently leading development of core modules.
2. Proficiency in at least one programming language (C++ / Java / Python / Rust, etc.).
Familiarity with mainstream deep learning frameworks and prior experience in AI algorithm development or deployment is a strong plus.
3. Solid understanding of computer system architecture and operating systems; hands-on experience with heterogeneous computing platforms, hardware accelerators, concurrent programming, low-level debugging, and Linux/ROS.
4. Knowledge in at least one of the following: deep neural networks, computer vision, robotics navigation and localization, motion planning, machine learning algorithms, knowledge graphs, or data analysis/mining/modeling, with the ability to optimize algorithm implementation for hardware.
5. Understanding of coding standards, best practices, and design patterns; experience in object-oriented design (OOD) or mainstream software frameworks is preferred.
·
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
System Software Engineer - Graphics and Image for Harmony OS
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SessionJob Postings
DescriptionWe are building the next-generation graphics stack for HarmonyOS NEXT, enabling industry-leading rendering, display, and visual intelligence across devices. As a key member of the graphics platform team, you will work on core rendering systems—from 2D/3D engines to HDR pipelines and neural rendering—defining the foundation for immersive user interfaces, spatial computing, and gaming performance.
Responsibilities:
1. Design and implement the HarmonyOS NEXT graphics subsystem, including rendering frameworks, display pipelines, GPU drivers, and spatial rendering engines.
2. Lead graphics performance analysis and optimization, targeting low-latency, high-efficiency rendering on mobile hardware.
3. Advance next-gen rendering capabilities such as NeRF, 3D Gaussian Splatting, and hybrid neural-physical pipelines.
4. Optimize game rendering experience with enhanced GPU utilization, visual quality, and interaction responsiveness.
5. Collaborate closely with system, hardware, and media teams to deliver OS-level rendering innovations.
Responsibilities:
1. Design and implement the HarmonyOS NEXT graphics subsystem, including rendering frameworks, display pipelines, GPU drivers, and spatial rendering engines.
2. Lead graphics performance analysis and optimization, targeting low-latency, high-efficiency rendering on mobile hardware.
3. Advance next-gen rendering capabilities such as NeRF, 3D Gaussian Splatting, and hybrid neural-physical pipelines.
4. Optimize game rendering experience with enhanced GPU utilization, visual quality, and interaction responsiveness.
5. Collaborate closely with system, hardware, and media teams to deliver OS-level rendering innovations.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Master’s or PhD in Computer Graphics, Computer Science, or related field.
2. Deep understanding of graphics stacks in mobile OS (e.g., HarmonyOS, Android, iOS), including 2D/3D engines, HDR, drivers, and memory systems.
3. Familiarity with GPU/display subsystems (GPU, DSS, Display Controller, NPU), and real-time rendering performance tuning.
4. Hands-on experience with neural rendering (e.g., NeRF, 3DGS) and traditional rendering engines (Unity, Unreal, Cocos).
5. Proficient in graphics APIs and tools: Vulkan, OpenGL, DirectX, GLSL/HLSL, RenderDoc, Nsight, etc.
6. Strong coding skills in C/C++, with system-level design thinking and cross-team collaboration ability.
·
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Rendering Software Engineer - EA SPORTS
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SessionJob Postings
DescriptionEA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
As a Rendering Software Engineer, you will collaborate with Designers, Artists, and Engineers to develop advanced graphics features that directly enhance the visual quality of EA's titles..
Your Responsibilities:
- Develop core rendering features, engine components and tools.
- Research and implement rendering techniques.
- Create reusable and flexible rendering technologies.
- Write technical design specifications.
- Design, maintains, implements, tests and debugs code, pipelines and other rendering-related sub-components and packages.
- Profiles and optimizes rendering modules of a game engine.
- Stay up to date with the latest hardware & software changes enhancing the rendering domain.
- You will report to the engineering team's manager and work with your peers to render specific tasks.
Your Qualifications:
- 5+ years' experience with C++ development.
- Experience working on or creating real-time rendering engines.
- Communication ability that supports an open working environment regarding feedback
- A strong desire to improve visual quality together with art and design
- Math skills include trigonometry, calculus, and linear algebra.
- Experience in modern graphics APIs such as DirectX12, Vulkan, or Metal
- Experience developing rendering techniques and implementing white papers
- Stays up to date with the latest and the greatest techniques in computer graphics
- Experience with one or more of the following: PC, PS4, Xbox One, PS5, Xbox Series S/X
- Excellent debugging and multi-threading skills
- Experience with graphics performance analysis, optimization, and associated tools such as PIX, RenderDoc, Razor
- Experience with art and content pipelines and workflows
- Experience investigating and optimizing low-level game engine code on multiple platforms
- Understanding of memory management, multiple processor use, and runtime optimization.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
As a Rendering Software Engineer, you will collaborate with Designers, Artists, and Engineers to develop advanced graphics features that directly enhance the visual quality of EA's titles..
Your Responsibilities:
- Develop core rendering features, engine components and tools.
- Research and implement rendering techniques.
- Create reusable and flexible rendering technologies.
- Write technical design specifications.
- Design, maintains, implements, tests and debugs code, pipelines and other rendering-related sub-components and packages.
- Profiles and optimizes rendering modules of a game engine.
- Stay up to date with the latest hardware & software changes enhancing the rendering domain.
- You will report to the engineering team's manager and work with your peers to render specific tasks.
Your Qualifications:
- 5+ years' experience with C++ development.
- Experience working on or creating real-time rendering engines.
- Communication ability that supports an open working environment regarding feedback
- A strong desire to improve visual quality together with art and design
- Math skills include trigonometry, calculus, and linear algebra.
- Experience in modern graphics APIs such as DirectX12, Vulkan, or Metal
- Experience developing rendering techniques and implementing white papers
- Stays up to date with the latest and the greatest techniques in computer graphics
- Experience with one or more of the following: PC, PS4, Xbox One, PS5, Xbox Series S/X
- Excellent debugging and multi-threading skills
- Experience with graphics performance analysis, optimization, and associated tools such as PIX, RenderDoc, Razor
- Experience with art and content pipelines and workflows
- Experience investigating and optimizing low-level game engine code on multiple platforms
- Understanding of memory management, multiple processor use, and runtime optimization.
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Location
Vancouver
In-Person:
Hybrid
Description of Position:
Full-Time; Games
Skills and Experience:
Programmer; Developer; Rendering Engineer; Software Engineer
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Senior Robotics Research Scientist
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SessionJob Postings
DescriptionWe are now looking for a Senior Robotics Research Scientist! NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world.
The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for world-class senior research scientists to play a pivotal role in these efforts, providing both technical leadership and hands-on technical contributions. These scientists must have exceptional research and engineering skills, a proven research track record, strong supporting references, and a team-first mentality.
What you will be doing:
Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
Mentoring interns and more junior research scientists and engineers.
What we need to see:
A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). At least 3 years of research experience after completing your PhD; 5+ years is preferred.
Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.
A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
Fluency in modern deep learning frameworks such as PyTorch and JAX. Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.
Ways to stand out from the crowd:
Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.
A history of successfully mentoring junior researchers, engineers, and/or interns.
Experience with one or more of the following research areas and applications, which are of particular interest:
Bimanual and dexterous manipulation
Mobile manipulation and humanoid loco-manipulation
Multisensory perception (e.g., vision, tactile, and force/torque sensing)
Simulation, sim-to-real, and real-to-sim
Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
Industrial applications, such as bin-picking, kitting, and assembly
The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026. Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of robotics research that will impact both industry and academia!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for world-class senior research scientists to play a pivotal role in these efforts, providing both technical leadership and hands-on technical contributions. These scientists must have exceptional research and engineering skills, a proven research track record, strong supporting references, and a team-first mentality.
What you will be doing:
Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
Mentoring interns and more junior research scientists and engineers.
What we need to see:
A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). At least 3 years of research experience after completing your PhD; 5+ years is preferred.
Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.
A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
Fluency in modern deep learning frameworks such as PyTorch and JAX. Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.
Ways to stand out from the crowd:
Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.
A history of successfully mentoring junior researchers, engineers, and/or interns.
Experience with one or more of the following research areas and applications, which are of particular interest:
Bimanual and dexterous manipulation
Mobile manipulation and humanoid loco-manipulation
Multisensory perception (e.g., vision, tactile, and force/torque sensing)
Simulation, sim-to-real, and real-to-sim
Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
Industrial applications, such as bin-picking, kitting, and assembly
The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026. Widely considered to be one of the technology world’s most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative researcher interested in seeking new challenges? If so, we want to hear from you! Please join us and be at the forefront of robotics research that will impact both industry and academia!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Location
US, WA, Seattle
In-Person:
Onsite
Description of Position:
Full-Time
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Research Scientist – OS Windowing and Graphics System
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SessionJob Postings
DescriptionWe are building the next-generation terminal operating system, and we’re looking for a visionary research scientist to lead the design of our display system stack—from window management and rendering pipelines to desktop system environments. You will work at the core of OS–hardware integration to deliver industry-best GUI performance, power efficiency, and user experience.
This is a strategic role for someone who can bridge architecture, engineering, and system-level innovation across platforms.
Responsibilities:
1. Lead architecture and development of the OS windowing and display stack, including display services, window system, GUI rendering, and compositor.
2. Optimize system performance and energy efficiency through deep vertical integration with the OS kernel and XPU hardware.
3. Drive research and implementation of advanced 2D graphics technologies—e.g., minimalist rendering pipelines and data-driven UI rendering frameworks.
4. Design a high-performance animation framework with modular architecture and hardware acceleration.
This is a strategic role for someone who can bridge architecture, engineering, and system-level innovation across platforms.
Responsibilities:
1. Lead architecture and development of the OS windowing and display stack, including display services, window system, GUI rendering, and compositor.
2. Optimize system performance and energy efficiency through deep vertical integration with the OS kernel and XPU hardware.
3. Drive research and implementation of advanced 2D graphics technologies—e.g., minimalist rendering pipelines and data-driven UI rendering frameworks.
4. Design a high-performance animation framework with modular architecture and hardware acceleration.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Undergraduate degree; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. Deep understanding of terminal operating systems, including resource allocation between foreground and background processes, CPU/GPU/DDR scheduling and dynamic frequency scaling, process/thread management, inter-process communication (IPC), and user–kernel mode transitions.
2. Strong knowledge of 2D rendering pipelines in mainstream operating systems (e.g., Android, Linux, iOS), including window management, drawing, and composition.
Clear understanding of execution paths and system bottlenecks across CPU, GPU, and memory, as well as strategies for balancing performance and power consumption.
3. Familiarity with mainstream desktop environments, with a clear understanding of module responsibilities and their runtime impact on overall system performance and user experience.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Principal Research Scientist-Graphics
Hide Details
SessionJob Postings
DescriptionWe are looking for a visionary graphics leader to define and drive the future of Huawei’s OS-level and platform-level graphics architecture. This role focuses on breakthroughs in real-time rendering, graphics engines, spatial computing, and neural graphics technologies, ensuring Huawei’s leadership in immersive user experiences.
You will lead research and architecture design across rendering pipelines, GPU driver stacks, high-performance graphics frameworks, and advanced techniques such as NeRF and real-time ray tracing, building next-generation graphics capabilities that empower HarmonyOS NEXT and Huawei’s ecosystem.
Responsibilities:
1.Anticipate and define global trends in computer graphics; set the technical vision, strategic roadmap, and global R&D layout.
2.Lead architecture design and drive innovation in core CG technologies, achieving breakthroughs in rendering, engine frameworks, and high-value differentiators.
3.Research next-generation graphics technologies (e.g., neural rendering, real-time ray tracing, hybrid pipelines) and provide input for internal/external technical strategy and investments.
4.Build global influence through active engagement with the academic and industrial CG community; form long-term, win–win strategic partnerships.
You will lead research and architecture design across rendering pipelines, GPU driver stacks, high-performance graphics frameworks, and advanced techniques such as NeRF and real-time ray tracing, building next-generation graphics capabilities that empower HarmonyOS NEXT and Huawei’s ecosystem.
Responsibilities:
1.Anticipate and define global trends in computer graphics; set the technical vision, strategic roadmap, and global R&D layout.
2.Lead architecture design and drive innovation in core CG technologies, achieving breakthroughs in rendering, engine frameworks, and high-value differentiators.
3.Research next-generation graphics technologies (e.g., neural rendering, real-time ray tracing, hybrid pipelines) and provide input for internal/external technical strategy and investments.
4.Build global influence through active engagement with the academic and industrial CG community; form long-term, win–win strategic partnerships.
Location
Shanghai, Shenzhen, Hong Kong, Singapore, Canada, Beijing, Hangzhou, etc.
In-Person:
Onsite
Description of Position:
PhD; Full-Time; Desired Level of Education: Master’s degree
Other Skills or Experience:
1. 10+ years of experience in the computer graphics domain, with deep expertise in rendering, graphics engines, spatial computing, or related areas. PhD in Computer Graphics is an asset.
2. Proven record of industry or academic impact in CG, with successful commercialization of large-scale products or widely recognized research.
3. Strong ability to lead technical strategy and guide cross-functional engineering teams to deliver best-in-class user experiences.
4. Strong connection with CG community.
5. Excellent foresight in technology evolution and a collaborative mindset, with the ability to influence the global CG ecosystem.
·
·
2025-08-01
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
Associate Research Scientist, 3D Generative AI
Hide Details
SessionJob Postings
DescriptionAbout the Role & Team
“Any sufficiently complex technology is indistinguishable from magic.” - Arthur C. Clarke
At Walt Disney Imagineering, we are constantly exploring new ways to connect with our guests – to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world.
At Walt Disney Imagineering Research and Development, this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists, and scientists share a passion for solving impossible problems and building ground-breaking experiences.
At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment.
We are seeking an Associate Research Scientist within Disney Research Imagineering with a passion for generative AI and 3D technologies to help prototype, test, and refine intelligent systems that empower designers, storytellers, and engineers across Disney. This is an exciting opportunity to contribute to high-impact projects at the intersection of spatial computing, machine learning, and immersive design.
As an Associate Research Scientist, you will work with senior scientists, artists, and engineers to develop, implement, and evaluate AI models and 3D tools that support the creative process. Your role will focus on scientific evaluation, technical execution, model training, integration, and prototyping within a fast-paced R&D environment.
You will report to the Associate Lab Director within Disney Research Imagineering.
This is a full-time role.
What You Will Do
Assist in developing, training, and testing generative models for 3D content creation and spatial design tasks.
Evaluate state-of-the-art techniques for 3D content creation, to bring the best, most up-to-date recommendations to our business use cases
Conduct original research in generative AI, focusing on 3D model generation, scene synthesis, and simulation.
Implement AI pipelines and tools using modern machine learning frameworks (e.g., PyTorch, TensorFlow).
Support integration of AI models with game engines and 3D tools (e.g., Unreal, Unity).
Contribute to the development of interactive prototypes for internal user testing and demonstration.
Collaborate on dataset preparation, evaluation metrics, and model tuning processes.
Coordinate with internal and external research partners, including academic institutions, industry labs, and vendors.
Document research and projects for multiple audiences, to ensure knowledge sharing and reproducibility, and communicate research insights.
Stay up to date with the field of research for generative 3D modeling and animation.
Required Qualifications & Skills
3+ years’ research experience in applied machine learning, computer vision, or graphics programming
Familiarity with generative models and 3D imagery technologies (e.g., GANs, 3D diffusion models, NeRFs) and their use in 3D or visual applications.
Proficient in Python and experience with deep learning libraries (e.g., PyTorch, TensorFlow).
Hands-on experience with 3D data (meshes, point clouds, voxel grids, implicit surfaces).
Familiarity with computer graphics fundamentals, geometry processing, or simulation.
Ability to bridge AI model development with practical deployment in 3D visualization, asset creation, and construction coordination.
Ability to write, debug and review C, C++, and Python software.
Strong problem-solving and communication skills; ability to work collaboratively on multidisciplinary teams.
A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
Preferred Qualifications
Familiarity with real-time rendering engines (Unreal Engine, Unity) and 3D modeling toolchains (Blender, Houdini, Maya) enhanced by AI workflows.
Experience developing AI applications for interactive design, spatial computing, and XR (VR/AR/MR) simulations in entertainment or architecture.
Strong understanding of animation principles, motion synthesis, kinematics, and behavioral AI.
Experience with generative models for animation, such as motion transformers, motion diffusion models, variational motion encoders, or reinforcement learning for animated control.
Experience integrating animation systems into real-time engines
Familiarity with motion capture data pipelines, retargeting techniques, and animation blending.
Demonstrated ability to bridge technical research and production-quality animation systems, ideally through previous work in film, games, or immersive media.
Contributions to open-source projects or prior internships in research labs or innovation teams.
Interest in construction tech, architecture, or fabrication workflows is a plus.
Education
PhD in Computer Science, Engineering, Computational Design, or a related field with a focus on AI/ML, computer graphics, or interactive systems.
Additional Information
This role is located in Glendale, CA.
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
“Any sufficiently complex technology is indistinguishable from magic.” - Arthur C. Clarke
At Walt Disney Imagineering, we are constantly exploring new ways to connect with our guests – to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world.
At Walt Disney Imagineering Research and Development, this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists, and scientists share a passion for solving impossible problems and building ground-breaking experiences.
At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment.
We are seeking an Associate Research Scientist within Disney Research Imagineering with a passion for generative AI and 3D technologies to help prototype, test, and refine intelligent systems that empower designers, storytellers, and engineers across Disney. This is an exciting opportunity to contribute to high-impact projects at the intersection of spatial computing, machine learning, and immersive design.
As an Associate Research Scientist, you will work with senior scientists, artists, and engineers to develop, implement, and evaluate AI models and 3D tools that support the creative process. Your role will focus on scientific evaluation, technical execution, model training, integration, and prototyping within a fast-paced R&D environment.
You will report to the Associate Lab Director within Disney Research Imagineering.
This is a full-time role.
What You Will Do
Assist in developing, training, and testing generative models for 3D content creation and spatial design tasks.
Evaluate state-of-the-art techniques for 3D content creation, to bring the best, most up-to-date recommendations to our business use cases
Conduct original research in generative AI, focusing on 3D model generation, scene synthesis, and simulation.
Implement AI pipelines and tools using modern machine learning frameworks (e.g., PyTorch, TensorFlow).
Support integration of AI models with game engines and 3D tools (e.g., Unreal, Unity).
Contribute to the development of interactive prototypes for internal user testing and demonstration.
Collaborate on dataset preparation, evaluation metrics, and model tuning processes.
Coordinate with internal and external research partners, including academic institutions, industry labs, and vendors.
Document research and projects for multiple audiences, to ensure knowledge sharing and reproducibility, and communicate research insights.
Stay up to date with the field of research for generative 3D modeling and animation.
Required Qualifications & Skills
3+ years’ research experience in applied machine learning, computer vision, or graphics programming
Familiarity with generative models and 3D imagery technologies (e.g., GANs, 3D diffusion models, NeRFs) and their use in 3D or visual applications.
Proficient in Python and experience with deep learning libraries (e.g., PyTorch, TensorFlow).
Hands-on experience with 3D data (meshes, point clouds, voxel grids, implicit surfaces).
Familiarity with computer graphics fundamentals, geometry processing, or simulation.
Ability to bridge AI model development with practical deployment in 3D visualization, asset creation, and construction coordination.
Ability to write, debug and review C, C++, and Python software.
Strong problem-solving and communication skills; ability to work collaboratively on multidisciplinary teams.
A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
Preferred Qualifications
Familiarity with real-time rendering engines (Unreal Engine, Unity) and 3D modeling toolchains (Blender, Houdini, Maya) enhanced by AI workflows.
Experience developing AI applications for interactive design, spatial computing, and XR (VR/AR/MR) simulations in entertainment or architecture.
Strong understanding of animation principles, motion synthesis, kinematics, and behavioral AI.
Experience with generative models for animation, such as motion transformers, motion diffusion models, variational motion encoders, or reinforcement learning for animated control.
Experience integrating animation systems into real-time engines
Familiarity with motion capture data pipelines, retargeting techniques, and animation blending.
Demonstrated ability to bridge technical research and production-quality animation systems, ideally through previous work in film, games, or immersive media.
Contributions to open-source projects or prior internships in research labs or innovation teams.
Interest in construction tech, architecture, or fabrication workflows is a plus.
Education
PhD in Computer Science, Engineering, Computational Design, or a related field with a focus on AI/ML, computer graphics, or interactive systems.
Additional Information
This role is located in Glendale, CA.
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
Location
Glendale, CA
In-Person:
Onsite
Skills and Experience:
AI/Machine Learning
·
·
2025-08-08
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
3D Generative AI Research Scientist
Hide Details
SessionJob Postings
DescriptionAbout the Role & Team
“Any sufficiently complex technology is indistinguishable from magic.” - Arthur C. Clarke
At Imagineering, we are constantly exploring new ways to connect with our guests – to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world.
At Walt Disney Imagineering Research and Development this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists and scientists share a passion for solving impossible problems and building ground-breaking experiences.
At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment.
We are seeking a Research Scientist to lead foundational and applied research at the intersection of artificial intelligence and spatial media. This role involves designing, developing, and deploying cutting-edge generative models to support creative, architectural, and experiential design workflows across Disney’s themed entertainment portfolio.
As a key scientific contributor and thought leader, you will collaborate with cross-functional teams of researchers, engineers, and creatives. Your work will span exploratory investigations, peer-reviewed research, and the translation of experimental technologies into applied tools for design and fabrication.
You will report to the Associate Lab Director and contribute to the AI/ML research strategy for Imagineering R&D.
This is a full-time role.
What You Will Do
Conduct original research in generative AI, focusing on 3D model generation, scene synthesis, and simulation.
Develop machine learning architectures and algorithms that enhance the creation, visualization, and physical realization of themed environments.
Prototype AI-driven systems that support CAD/BIM workflows, virtual production, and spatial design.
Integrate AI with real-time rendering engines, 3D modeling pipelines, and mixed-reality platforms.
Evaluate generative models for feasibility, fidelity, controllability, and integration into creative pipelines.
Collaborate with internal and external research partners, including academic institutions, industry labs, and vendors.
Translate scientific insights into working prototypes that bridge digital design and physical implementation.
Mentor junior researchers and contribute to the technical direction of AI initiatives within the lab.
Required Qualifications & Skills
5+ years of research experience in machine learning, computer vision, or computational graphics with published work in top-tier conferences/journals (e.g. SIGGRAPH, NeurIPS, CVPR, and others).
Expertise in generative 3D AI technologies such as NeRFs, diffusion models, implicit neural representations, or volumetric rendering.
Proficiency in machine learning libraries (e.g., PyTorch, TensorFlow) and programming languages such as Python and C++.
Experience working with 3D asset creation and rendering tools (e.g., Blender, Unreal Engine, Unity, Houdini).
Deep understanding of data-driven design tools and interactive AI systems for spatial computing or immersive storytelling.
Demonstrated ability to bridge theoretical research with real-world implementation.
Strong communication skills with the ability to present complex ideas to multidisciplinary teams.
A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
Preferred Qualifications
Familiarity with robotics, digital fabrication, or construction automation as it relates to AI integration.
Experience with AI-assisted tools in architecture, entertainment, or XR applications.
Background in physical simulation, procedural modeling, or multimodal (text-to-3D) generation.
Track record of technology transfer, patents, or deployed AI systems.
Experience with generative models for animation, such as motion transformers, motion diffusion models, variational motion encoders, or reinforcement learning for animated control.
Experience integrating animation systems into real-time engines (e.g., Unreal Engine with Control Rig, Unity with Mecanim or custom solutions).
Familiarity with motion capture data pipelines, retargeting techniques, and animation blending.
Demonstrated ability to bridge technical research and production-quality animation systems, ideally through previous work in film, games, or immersive media.
Contributions to open-source projects or prior internships in research labs or innovation teams.
Interest in construction tech, architecture, or fabrication workflows is a plus.
Education
PhD in Computer Science, Electrical Engineering, Computational Design, or a related field, with specialization in AI/ML or 3D graphics.
Additional Information
This role is located in Glendale, CA.
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
“Any sufficiently complex technology is indistinguishable from magic.” - Arthur C. Clarke
At Imagineering, we are constantly exploring new ways to connect with our guests – to surprise them, make them smile, and open their minds to magic - not just in our parks and resorts, but everywhere around the world.
At Walt Disney Imagineering Research and Development this "magic" emerges from the application of world-class technology and everything from new Guest-facing experiences to new tools for Imagineers and Cast Members who power our parks and bring that magic to life. Our team of engineers, designers, artists and scientists share a passion for solving impossible problems and building ground-breaking experiences.
At Disney Research Imagineering, we pursue and apply the science behind the magic: unlocking new opportunities for Imagineering in all aspects of project lifecycles, from early phase creative ideation to deployment.
We are seeking a Research Scientist to lead foundational and applied research at the intersection of artificial intelligence and spatial media. This role involves designing, developing, and deploying cutting-edge generative models to support creative, architectural, and experiential design workflows across Disney’s themed entertainment portfolio.
As a key scientific contributor and thought leader, you will collaborate with cross-functional teams of researchers, engineers, and creatives. Your work will span exploratory investigations, peer-reviewed research, and the translation of experimental technologies into applied tools for design and fabrication.
You will report to the Associate Lab Director and contribute to the AI/ML research strategy for Imagineering R&D.
This is a full-time role.
What You Will Do
Conduct original research in generative AI, focusing on 3D model generation, scene synthesis, and simulation.
Develop machine learning architectures and algorithms that enhance the creation, visualization, and physical realization of themed environments.
Prototype AI-driven systems that support CAD/BIM workflows, virtual production, and spatial design.
Integrate AI with real-time rendering engines, 3D modeling pipelines, and mixed-reality platforms.
Evaluate generative models for feasibility, fidelity, controllability, and integration into creative pipelines.
Collaborate with internal and external research partners, including academic institutions, industry labs, and vendors.
Translate scientific insights into working prototypes that bridge digital design and physical implementation.
Mentor junior researchers and contribute to the technical direction of AI initiatives within the lab.
Required Qualifications & Skills
5+ years of research experience in machine learning, computer vision, or computational graphics with published work in top-tier conferences/journals (e.g. SIGGRAPH, NeurIPS, CVPR, and others).
Expertise in generative 3D AI technologies such as NeRFs, diffusion models, implicit neural representations, or volumetric rendering.
Proficiency in machine learning libraries (e.g., PyTorch, TensorFlow) and programming languages such as Python and C++.
Experience working with 3D asset creation and rendering tools (e.g., Blender, Unreal Engine, Unity, Houdini).
Deep understanding of data-driven design tools and interactive AI systems for spatial computing or immersive storytelling.
Demonstrated ability to bridge theoretical research with real-world implementation.
Strong communication skills with the ability to present complex ideas to multidisciplinary teams.
A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
Preferred Qualifications
Familiarity with robotics, digital fabrication, or construction automation as it relates to AI integration.
Experience with AI-assisted tools in architecture, entertainment, or XR applications.
Background in physical simulation, procedural modeling, or multimodal (text-to-3D) generation.
Track record of technology transfer, patents, or deployed AI systems.
Experience with generative models for animation, such as motion transformers, motion diffusion models, variational motion encoders, or reinforcement learning for animated control.
Experience integrating animation systems into real-time engines (e.g., Unreal Engine with Control Rig, Unity with Mecanim or custom solutions).
Familiarity with motion capture data pipelines, retargeting techniques, and animation blending.
Demonstrated ability to bridge technical research and production-quality animation systems, ideally through previous work in film, games, or immersive media.
Contributions to open-source projects or prior internships in research labs or innovation teams.
Interest in construction tech, architecture, or fabrication workflows is a plus.
Education
PhD in Computer Science, Electrical Engineering, Computational Design, or a related field, with specialization in AI/ML or 3D graphics.
Additional Information
This role is located in Glendale, CA.
Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits.
Location
Glendale, CA
In-Person:
Onsite
Description of Position:
Full-Time; PhD
Skills and Experience:
AI/Machine Learning
·
·
2025-08-08
Event Type
Job Posting
TimeSunday, 10 August 20258:00am - 9:00am PDT
LocationWest Building, Exhibit Hall C
