NVIDIA
PhD Research Intern, Generative AI - 2026
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 generative AI and world-model methods for Physical AI, then evaluate them and help transfer 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 using video, image, language, 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; hourly rate
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.
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