PhD Research Intern, Physical AI - Foundation Models - 2027
$0k - $0k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.
Responsibilities
- 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.
Requirements
- Currently pursuing a PhD in Computer Science, Electrical Engineering, 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.
Benefits
- Internship hourly rates are 38 USD - 94 USD.
- Eligibility for Intern benefits.