PhD Research Intern, Physical AI - Foundation Models - 2027

• Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
• Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
• Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
• Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
• Publish research at top conferences and transfer innovations into NVIDIA products.

• Currently pursuing a PhD in CS, EE, Robotics, or related fields.
• Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
• Prior publication record and research experience.
• Strong Python and PyTorch skills.

Ways to stand out from the crowd

• Experience with large-scale foundation model training.
• Research in video models, VLMs, world models, robotics, or autonomous driving.
• Experience with distributed training, simulation, or embodied AI.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.