PhD Research Intern, Generative AI for Physical AI

Nvidia

Confirmed live yesterday High trust

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Work type: On-site
Location: Santa Clara, CA
Employment: Intern
Posted: 3 days ago
Freshness: Confirmed live yesterday
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 909 open roles on FindRole.

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TL;DR · PhD Research Intern, Generative AI for Physical AI

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As a PhD Research Intern, Generative AI for Physical AI - 2027, you will join the team developing Cosmos world foundation models and generative AI systems for robotics, autonomous driving, smart spaces, and embodied agents. You will conduct research in generative AI, multimodal foundation models, world models, and embodied AI while developing algorithms for video understanding, action-conditioned simulation, multimodal reasoning, and policy learning. Your daily work involves training and evaluating large-scale models using video, image, language, and robotics or autonomous driving data to solve problems in multimodal world understanding and synthetic data generation. You will utilize Python and PyTorch to build these systems while collaborating with researchers across AI, robotics, simulation, and graphics teams. The role focuses on advancing the frontier of Physical AI by translating research into products through innovations in video models, VLMs, and distributed training.

Skills

Generative AI Multimodal Foundation Models World Models Python PyTorch Computer Vision Reinforcement Learning Distributed Training Robotics Autonomous Driving Video Understanding Simulation VLMs Policy Learning

What you'll do

Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
Develop algorithms for video understanding, generation, action-conditioned simulation, and multimodal reasoning.
Develop methods for policy learning in robotics and autonomous driving contexts.
Train and evaluate large-scale models using video, image, language, and robotics data.
Publish original research findings at top-tier academic conferences.
Translate innovative research findings into functional NVIDIA products.

What we're looking for

Currently pursuing a PhD in CS, EE, Robotics, or related fields.
Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
Prior publication record and research experience.
Strong Python and PyTorch skills.
Experience with large-scale foundation model training (preferred).
Research in video models, VLMs, world models, robotics, or autonomous driving (preferred).
Experience with distributed training, simulation, or embodied AI (preferred).

2+ yrs exp

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