PhD Research Intern, Generative AI - 2026
$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 advanced 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 the advancement of Physical AI and world models.
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 diverse data types including video, image, language, and robotics or autonomous driving data.
- Collaborate with cross-functional teams in AI, robotics, simulation, and graphics.
- Publish research findings at leading conferences and integrate innovations into NVIDIA products.
Requirements
- Currently pursuing a PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong foundation in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
- Demonstrated research experience with a prior publication record.
- Proficiency in Python and PyTorch.
Benefits
- Internship hourly rates ranging from $38 to $94 USD.
- Eligibility for intern benefits.