PhD Research Intern: Generative AI & World Models

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking outstanding PhD interns to advance Physical AI and world models in Cosmos across robotics, autonomous driving, and embodied agents. You will research generative AI, multimodal world models, and train large-scale models using diverse data streams, collaborating with cross‑functional teams.

Internship compensation follows location bands and includes intern benefits. The role emphasizes research output, publications, and transferring innovations into NVIDIA products, with a focus

Qualifications

• 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.

Responsibilities

• Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
• Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
• Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
• Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
• Publish research at top conferences and transfer innovations into NVIDIA products.

Skills

Python

Research

Publications

Multimodal AI

Education

PhD in CS/EE/Robotics

Tools

PyTorch

TensorFlow

Distributed training

Job description

NVIDIA is seeking outstanding PhD interns to advance Physical AI and world models in Cosmos across robotics, autonomous driving, and embodied agents. You will research generative AI, multimodal world models, and train large-scale models using diverse data streams, collaborating with cross‑functional teams.

Internship compensation follows location bands and includes intern benefits. The role emphasizes research output, publications, and transferring innovations into NVIDIA products, with a focus