NVIDIA
PhD Research Intern, Physical AI - Foundation Models - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Currently pursuing a PhD in CS, EE, Robotics, or related fields.
About the job
Conduct research and develop large-scale models and algorithms for Physical AI, world models, and embodied applications, publishing findings and transferring innovations into NVIDIA products.
What you'll do
- Research generative AI, multimodal foundation models, world models, and embodied AI; develop algorithms for video, simulation, reasoning, and policy learning.
- Train and evaluate large-scale models on video, image, language, and robotics or autonomous driving data.
- Collaborate across research and engineering teams, publish at top conferences, and transfer innovations into products.
What they ask for
- Currently pursuing a PhD in CS, EE, Robotics, or a related field.
- Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
- Prior publication record and research experience.
- Strong Python and PyTorch skills.
Nice to have
- Experience with large-scale foundation model training.
- Research or experience in video models, VLMs, world models, robotics, autonomous driving, distributed training, simulation, or embodied AI.
Pay
38 USD - 94 USD per hour (intern hourly rate; base salary or total pay not stated)
Tools
Python, PyTorch
AI focus
Research and develop generative AI, multimodal foundation models, world models, and embodied AI for Physical AI, including video understanding and generation, action-conditioned simulation, multimodal reasoning, and policy learning.
Model-written summary · the original posting is authoritative