Research Scientist, Physical AI - Foundation Models - PhD New College Grad 2026
NVIDIA· Research Staff Member
Santa Clara, CA$168k - $264.5kfull-timePosted 6mo ago
About the role
Research Scientist specializing in Generative AI for Physical AI, focusing on developing next-generation algorithms and scalable training systems for physical AI, with opportunities to publish and collaborate across teams and open-source initiatives.
Responsibilities
- Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
- Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
- Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
- Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
- Author influential research papers to share groundbreaking discoveries with the global AI community
- Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
- Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
Qualifications
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience)
- Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
- Strong foundation in diffusion, vision language and reasoning models and their applications
- Proven experience with reinforcement learning algorithms and implementations
- Robust knowledge of physics simulation and its integration with AI systems
- Demonstrated proficiency in 3D generative models and their applications
Skills
Required:PyTorchdiffusion modelsreinforcement learningphysics simulation3D generative models
Benefits
- equity
- benefits (as described on benefits page)
Last updated Sep 25, 2026. Interested? Apply on the company site.
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