NVIDIA
Research Scientist, Autonomous Systems and Physical AI Research - PhD New College Grad 2026
$168K–$264K
US, CA, Santa Clara · Full-time · Posted Oct 7, 2026
- Education
- PhD in Robotics, Computer Science, Computer Engineering, or a related field; completing or recently completed in 2026.
About the job
Conduct foundational research and develop techniques for autonomous vehicles, robotics, and physical AI, publishing results and transferring research into products.
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 transfer developed technology to relevant product groups.
What they ask for
- Completing or recently completed a PhD in 2026 in Robotics, Computer Science, Computer Engineering, or a related field.
- Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
- Research excellence demonstrated through publications at leading conferences or journals and/or other research artifacts such as open-source software.
- Exceptional Python programming skills and experience with machine learning frameworks such as PyTorch.
Nice to have
- Experience with C++ and parallel programming, such as CUDA, is a plus.
- Strong autonomy theory and practice, or expertise in a related area with strong interest in autonomous systems.
Pay
168,000 USD - 264,500 USD (base salary)
Tools
Python, C++, CUDA, PyTorch
AI focus
Research on 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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