PhD Research Intern, Autonomous Systems and Physical AI Research

Nvidia

Confirmed live yesterday High trust

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Work type: On-site
Location: Santa Clara, CA
Employment: Intern
Posted: 2 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $207k

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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 930 open roles on FindRole.

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

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PhD Research Intern, Autonomous Systems and Physical AI Research - 2027 will join the ASPIRE group to conduct foundational research on autonomous vehicles, robotics, and physical AI. The role involves designing and implementing cutting-edge techniques for intelligent machines that perceive, reason, and interact safely with people and the physical world. You will perform original research, publish results, and collaborate with internal product teams to transfer developed technologies to relevant groups. Key research areas include foundation model design, embodied reasoning, safety, closed-loop training, and agentic workflows. The work addresses challenges like decision-making under uncertainty and verification of safety-critical systems. Required skills include Python programming, experience with PyTorch, and potentially C++ or CUDA. Candidates should have a background in robotics or computer science and experience in areas such as reinforcement learning and simulation.

Skills

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

What you'll do

Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI.
Conduct original research in areas like foundation model design, embodied reasoning, and safety.
Develop new training paradigms using perception and interaction to train robot policies in closed loops.
Create systems that reason under uncertainty and interact safely with people and other agents.
Publish research findings in leading conferences and journals.
Open-source code and develop research artifacts for the community.
Transfer developed technologies to relevant internal product groups.

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 to thrive in a dynamic, research-focused team.

6+ yrs exp

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Ph.D. Research Generative AI Intern

Nvidia

Santa Clara, CA 27 days ago

Python C++ CUDA PyTorch JAX TensorFlow Deep Learning Generative AI Computer Vision Large Language Models Diffusion Models Multimodal Foundation Models World Models Action-Based Transformers Physics-Based Simulation Synthetic Data Generation Partial Differential Equations

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