PhD Research Intern, Generative AI for Physical AI - 2027

at Nvidia

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Algorithms @ 3 Computer Vision @ 6 GenAI Generative AI @ 6 PyTorch @ 6 Python @ 6 Reinforcement Learning @ 6 Robotics @ 6

Details

NVIDIA is building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. PhD interns will help advance the frontier of Physical AI and world models.

Responsibilities

Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
Develop algorithms for video understanding and generation, action-conditioned simulation, multimodal reasoning, and policy learning.
Train and evaluate large-scale models using video, image, language, 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.

Requirements

Currently pursuing a PhD in computer science, electrical engineering, robotics, or a related field.
Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
Prior publication record and research experience.
Strong Python and PyTorch skills.

Preferred Qualifications

Experience with large-scale foundation model training.
Research experience in video models, vision-language models, world models, robotics, or autonomous driving.
Experience with distributed training, simulation, or embodied AI.

Benefits

Interns are eligible for NVIDIA intern benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until September 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.