Director - Applied Neural Graphics jobs at Nvidia in China, Shanghai

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by exceptional technology and outstanding individuals. Today, we're tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of immersive digital worlds and creative applications. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

• Establish and scale NVIDIA's neural graphics organization in China, building research and engineering teams

• Define and implement our neural graphics strategy for China and its integration into NVIDIA's graphics platform

• Build strategic partnerships with China's leading VLM and neural graphics research institutions and talent

• Lead recruitment of exceptional talent in neural rendering, vision-language models, and differentiable programming

• Drive research-to-product pipeline, translating China's VLM innovations into shipping products and platforms globally

• Architect system-level integration of neural graphics technologies across NVIDIA's platform ecosystem

• Represent NVIDIA across the world's graphics and AI research community, establishing thought leadership

• Partner with executive leadership to develop company-wide neural graphics strategy and roadmap

• Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience that is outstanding

• 12+ years experience, 6+ years leading teams

• Deep connections in the neural graphics research community

• Proven track record of building organizations and scale teams in fast paced technical domains

• Strong understanding of ML frameworks, VLM architectures, and AI technologies with experience bringing them to production

• Experience defining platform strategies with demonstrated research-to-product transfers and measurable business impact across global markets

• Excellent interpersonal and communication skills to lead across research, product, and executive teams in both Chinese and English

• Established thought leadership in neural graphics, VLMs, or AI-powered rendering with industry recognition

• Experience building successful research-industry partnerships in China's AI ecosystem

• Track record shipping graphics or AI platforms used by developers worldwide

• Conference presentations, publications, or awards in graphics, VLMs, or AI

• Experience establishing new technical organizations or regional presences

What You Will Be Doing:

• PerformVision-Language-Action(VLA) pre-training and post-training.

• Implement and enhance robot learning algorithms for robotics.

• Deploy algorithms on real humanoid robots to evaluate sim2real transfer.

• Focus on humanoid loco-manipulation tasks to advance robotic capabilities.

• Collaborate with research and engineering teams to enable foundation models Sim2Real transfer on humanoid robots.

• Run experiments and analyze results to improve robotic system performance.

• Continuously learn and explore new technologies.

• Cross team collaborations and leadership for sim2real efforts

• Publish papers / technical reports for the applied research work.

What we need to see:

• Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience).

• 2 years+ experience in robotics.

• Proficient programming skills in Python and C++.

• Experience with machine learning frameworks, especially PyTorch.

• Strong understanding of robot learning principles and algorithms.

• Experience with simulation environments (e.g. Isaac Lab, Isaac Sim)

• Hands-on experience of real robot testing.

• Familiar with robotics middleware.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

Ways to Stand out from The Crowd:

• Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks

• Experience withvision-language-action(VLA) models

• Strong publication record in top-tier conferences and journals.

• Experience with NVIDIA's Isaac platform and tools

What You Will Be Doing:

• PerformVision-Language-Action(VLA) pre-training and post-training.

• Implement and enhance robot learning algorithms for robotics.

• Deploy algorithms on real humanoid robots to evaluate sim2real transfer.

• Focus on humanoid loco-manipulation tasks to advance robotic capabilities.

• Collaborate with research and engineering teams to enable foundation models Sim2Real transfer on humanoid robots.

• Run experiments and analyze results to improve robotic system performance.

• Continuously learn and explore new technologies.

• Cross team collaborations and leadership for sim2real efforts

• Publish papers / technical reports for the applied research work.

What we need to see:

• Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience).

• At least 5 years of experience in robotics.

• Proficient programming skills in Python and C++.

• Experience with machine learning frameworks, especially PyTorch.

• Strong understanding of robot learning principles and algorithms.

• Experience with simulation environments (e.g. Isaac Lab, Isaac Sim)

• Hands-on experience of real robot testing.

• Familiar with robotics middleware.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

Ways to Stand out from The Crowd:

• Technical leadership or management experience for complex projects

• Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks

• Experience withvision-language-action(VLA) models

• Strong publication record in top-tier conferences and journals.

• Experience with NVIDIA's Isaac platform and tools

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an agile environment. You will write code in C and C++ operating directly on the GPU shader microcode and low-level driver data structures to enable shader debugging and shader profiling. In this role you can expect to:

• Create developer tools features for NVIDIA GPUs that enables developers to quickly iterate on optimizations to build fast graphics applications.

• Work closely with internal and external partners including other peer organizations within NVIDIA.

• Drive technology discussions and provide valuable feedback about the architecture as a domain expert.

• Effectively estimate and prioritize tasks in order to build a realistic delivery schedule.

• Write fast, effective, maintainable, reliable and well documented code.

• Provide peer reviews to other engineers including feedback on performance, scalability and correctness.

• Document requirements and designs, and review documents with stakeholders.

• Demonstrate growth in technical and non-technical abilities.

• Meet with the QA Department to develop a test plan for new features.

• BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience).

• Excellent C++ programming skills and ability to articulate key aspects of Object-Oriented Programming.

• Proficient in at least one graphics programming API such as Direct3D, OpenGL and Vulkan.

• Able to work effectively with a team of engineers in a fast paced and dynamic environment.

• Excellent written and verbal communication skills.

• Able to estimate effectively to ensure delivery of software on time.

• 4+ years of experience on system level software development.

• Knowledge of 3D Graphics Algorithms and GPU Architectures.

• Strong grasp of heterogeneous computing, multithreading and a deep understanding of streaming multiprocessors, warp scheduling etc...

• Background in the Game Industry or in a field that requires high-performance graphics.

• Experience with GPU low-level performance tuning/optimization, including profiling and debugging.

• Solid understanding of User Experience (UX) design, GUI development and the Qt framework is a huge plus.

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an agile environment. In this role you can expect to:

• Create developer tools features for NVIDIA GPUs that enables developers to quickly iterate on optimizations to build fast graphics applications.

• Write fast, effective, maintainable, reliable and well documented code.

• Effectively estimate and prioritize tasks in order to build a realistic delivery schedule.

• Provide peer reviews to other engineers including feedback on performance, scalability and correctness.

• Drive technology discussions and provide valuable feedback about the architecture as a domain expert.

• Document requirements and designs, and review documents with stakeholders.

• Demonstrate growth in technical and non-technical abilities.

• Meet with the QA Department to develop a test plan for new features.

• BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience).

• Excellent C++ programming skills and ability to articulate key aspects of Object-Oriented Programming.

• Proficient in at least one graphics programming API such as Direct3D, OpenGL and Vulkan.

• Able to work effectively with a team of engineers in a fast paced and dynamic environment.

• Excellent written and verbal communication skills.

• Able to estimate effectively to ensure delivery of software on time.

• Knowledge of 3D Graphics Algorithms and GPU Architectures.

• Strong grasp of heterogeneous computing, multithreading and a deep understanding of streaming multiprocessors, warp scheduling etc...

• Experience with GPU low-level performance tuning/optimization, including profiling and debugging.

• Solid understanding of User Experience (UX) design, GUI development and the Qt framework is a huge plus.