PhD Research Intern, Generative AI

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
15 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · PhD Research Intern, Generative AI

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As a PhD Research Intern, Generative AI - 2026, you will join the team building Cosmos world foundation models and generative AI systems for Physical AI. You will conduct research in generative AI, multimodal foundation models, world models, and embodied AI. Your daily responsibilities include developing algorithms for video understanding, action-conditioned simulation, multimodal reasoning, and policy learning. You will train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data. The role requires proficiency in Python and PyTorch, alongside a background in computer vision, multimodal learning, robotics, or reinforcement learning. You will solve technical problems related to multimodal world understanding, simulation, synthetic data generation, and embodied reasoning while collaborating with researchers across AI, robotics, simulation, and graphics teams to publish research and transfer innovations.

Skills

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

What you'll do

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
  • Develop algorithms for video understanding, action-conditioned simulation, multimodal reasoning, and policy learning.
  • Train and evaluate large-scale models using video, image, language, and robotics data.
  • Publish research findings at top-tier conferences.
  • Transfer research innovations into NVIDIA products.
  • Develop systems for multimodal world understanding and synthetic data generation.

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).

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