NVIDIA
PhD Research Intern, Autonomous Systems and Physical AI Research - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.
About the job
Conduct foundational research and develop techniques for autonomous vehicles, robotics, and physical AI, publishing results and transferring technology to product groups.
What you'll do
- Design and implement techniques for autonomous vehicles, robotics, and physical AI.
- Conduct original research and publish results.
- Collaborate with research and product teams and external researchers; transfer developed technology to relevant product groups.
What they ask for
- Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.
- Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
- Strong knowledge of vehicle or robot autonomy, or expertise in a related area with strong interest in applying it to autonomous systems; research excellence demonstrated through publications or other research artifacts.
- Exceptional Python skills and experience with machine learning frameworks such as PyTorch; strong communication and interpersonal skills.
Nice to have
- Experience with C++ and parallel programming, such as CUDA.
Pay
38 USD - 94 USD hourly rate
Tools
Python, C++, CUDA, PyTorch
AI focus
Research in physical AI, foundation models, embodied reasoning, safety, closed-loop training and evaluation, agentic workflows, decision-making under uncertainty, deep learning, reinforcement learning, simulation, and verification and validation of safety-critical AI systems.
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