PhD Research Intern, Generative AI - 2026

NVIDIA Corporation; Santa Clara (CA); On-site; USD 41,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking a PhD candidate for an internship role focused on generative AI, multimodal models, and embodied AI. The position emphasizes conducting advanced research, developing scalable algorithms, and evaluating large-scale models using diverse data sources such as video and robotics inputs.

Ideal candidates will have strong Python and PyTorch skills, a publication track record, and experience in multimodal learning or robotics.

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.

Skills

Python

PyTorch

Multimodal learning

Education

PhD candidate 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.

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.

We have some of the most forward-thinking and hardworking people in the world working for us.

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 30 USD - 94 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until May 31, 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.

Learn more about NVIDIA.