PhD Research Intern, Generative AI - 2026

NVIDIA; United States; On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA is seeking outstanding PhD interns to advance Cosmos world foundation models and generative AI for Physical AI across robotics, autonomous driving, and embodied agents.

Interns will research, develop, and evaluate multimodal models, train on large-scale data, and publish work at top conferences while transferring innovations to NVIDIA products. Hourly pay ranges from 38 USD to 94 USD, with intern benefits and an application window through October 16, 2026.

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

PyTorch

Education

PhD in CS/EE/Robotics

Job description

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.

What you'll be doing:

• 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.

What we need to see:

• 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. We have some of the most forward-thinking and hardworking people in the world working for us. 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. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Intern benefits .

Applications for this job will be accepted at least until October 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.