About the role#
The Autonomous Systems and Physical AI Research (ASPIRE) group is looking for PhD students to join us for a Summer 2027 internship. You will work on foundational research for autonomous vehicles, robotics, and physical AI. Our team explores topics including embodied reasoning, safety, closed-loop training, and agentic workflows. We encourage interns to publish their research and contribute to open-source projects while collaborating with product teams across the company.
What you'll do#
- Design and implement new techniques for autonomous vehicles, robotics, and physical AI.
- Conduct original research and publish your findings.
- Collaborate with research colleagues, external researchers, and internal product teams.
- Transfer developed technology to relevant product groups.
What you'll need#
- Current enrollment in a PhD program for Robotics, Computer Science, Computer Engineering, or a related field.
- Research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
- Strong knowledge of the theory and practice of vehicle or robot autonomy.
- A track record of research excellence shown through publications at conferences and journals or open-source software.
- Exceptional Python programming skills.
- Experience with machine learning frameworks like PyTorch.
- Strong communication skills and the ability to work well in a research-focused team.
- Proficiency in C++ and parallel programming like CUDA is a plus.
Location & details#
- This is a full-time, paid internship based on-site in Santa Clara, California.
- The hourly rate ranges from 38 USD to 94 USD depending on experience, location, and education level.
- This position is for the Summer 2027 term.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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