Nvidia Generative AI Engineer Intern Games - 

China, Shanghai 

276188691

What you’ll be doing:

• Research and implement innovative generative AI algorithms for game engines and authoring tools, including real-time neural graphics, physics based animation and diffusion models.

• Develop neural graphics, animation and physics models and maintain open-source projects for both game-making and user runtimes. Integrate them into mainstream game engines and DCC tools.

• Use various optimization techniques, such as tensor fusion and quantization, to fit the AI models onto user devices and maximize the performance of inference for real-time gaming.

• Collaborate with game developers on optimizations and improvements for specific GenAI applications.

• Interact closely with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures.

What we need to see:

• Pursuing B.S., M.S. or Ph.D. undergraduate in EE/CS.

• Recent research experience in physics simulation, such as robot kinematics, material point method and fluid implicit particle.

• Strong knowledge of animation system, including state-based animation controllers, motion matching, inverse kinematics, rigging and skinning.

• Recent active experience with deep learning frameworks, Python, and C++ development. Ability to use CUDA (or parallel programming) for performance optimization.

• Working knowledge of graphics APIs (DirectX or Vulkan) and real-time applications.

• Sharp mathematical skills.

• Good communication and interpersonal skills in English and Mandarin.

Ways to stand out from the crowd:

• Contributing to a popular open-source project or work on an interesting side-project.

• Understanding of parallel computing, 3D graphics and modern GPU architectures.

• Working knowledge of Agile principles and methods.