PhD Research Intern, Generative AI - 2026

at Nvidia

USD 30-94 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

At NVIDIA, we are 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. We are looking for outstanding PhD interns to 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/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.

Requirements

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.

Ways to stand out from the crowd

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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience.