PhD Research Intern, Autonomous Systems and Physical AI Research - 2027
Core
Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI, including closed-loop training, safety assurances, and embodied reasoning.
Role type
PhD Research Intern (Physical AI & Autonomous Systems)
Builds
Foundational research in foundation models, embodied reasoning, safety, and agentic workflows for physical AI.
Domain
Autonomous vehicles, robotics, and physical AI
Deliverable
research
Required skills
Python programming, machine learning frameworks (PyTorch), research in autonomous vehicles/robotics/embodied AI, theory and practice of vehicle/robot autonomy
Preferred skills
C++ programming, parallel programming (CUDA), open-source software development
Technologies
PyTorch, CUDA, Python, C++
