NVIDIA
Research Scientist, Physical AI - Foundation Models - PhD New College Grad 2026
$168K–$264K
US, CA, Santa Clara · Full-time · Posted Sep 23, 2026
- Education
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
About the job
Develop generative AI algorithms and foundation models for physical AI, including video and video-language models, simulation, and large-scale training.
What you'll do
- Develop generative AI algorithms, data pipelines, and physics simulation methods for physical AI.
- Scale and optimize foundation-model training systems; author research papers.
- Collaborate with research and product teams, transfer technology, and contribute to open source.
What they ask for
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
- Expertise in PyTorch and related libraries for Generative AI and Physical AI.
- Strong foundation in diffusion, vision language and reasoning models and their applications.
- Experience with reinforcement learning, physics simulation, and 3D generative models.
Nice to have
- Publications or contributions to major AI conferences; large-scale distributed training experience.
- Robotics or physical systems background, open-source contributions, or research-to-product experience.
Pay
168,000 USD - 264,500 USD (base salary)
Tools
PyTorch
AI focus
Research and develop generative AI and foundation models for physical AI, including video and video-language models, diffusion, vision-language and reasoning models, reinforcement learning, and 3D generative models.
Model-written summary · the original posting is authoritative