PhD Research Intern, Autonomous Systems and Physical AI Research

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1814 open roles on FindRole.

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TL;DR · PhD Research Intern, Autonomous Systems and Physical AI Research

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JOB TITLE: PhD Research Intern, Autonomous Systems and Physical AI Research - 2027 The PhD Research Intern, Autonomous Systems and Physical AI Research - 2027 joins the ASPIRE group to conduct foundational research on autonomous vehicles, robotics, and physical AI. You will design and implement cutting-edge techniques, conduct original research, and publish results while collaborating with internal product teams and external researchers. Your work involves solving challenges in embodied reasoning, safety-critical verification, closed-loop training, and decision-making under uncertainty. You will utilize Python, PyTorch, and potentially C++ and CUDA to develop systems that reason under uncertainty and interact safely with people. The role focuses on developing training paradigms for autonomous policies, navigating new environments, and creating agentic workflows for machines that must perceive and interact with the physical world.

Skills

Robotics Autonomous Vehicles Physical AI Deep Learning Reinforcement Learning Python PyTorch C++ CUDA Parallel Programming Simulation Embodied AI Machine Learning Verification and Validation Closed-loop Training

What you'll do

  • Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI.
  • Conduct original research and publish results in leading conferences and journals.
  • Develop new training paradigms using perception and interaction for closed-loop robot policies.
  • Equip autonomous systems with online and offline assurances for safety-critical applications.
  • Build systems that reason under uncertainty and interact safely with people and other agents.
  • Transfer developed technologies to relevant internal product groups.
  • Open-source research code and artifacts to the broader research community.

What we're looking 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 the theory and practice of vehicle or robot autonomy.
  • Track record of research excellence demonstrated through publications at leading conferences and journals.
  • Exceptional Python programming skills.
  • Experience with machine learning frameworks such as PyTorch.
  • Experience with C++ and parallel programming, such as CUDA (preferred).
  • Strong communication and interpersonal skills.

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