PhD Research Intern, Generative AI - 2026

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 41,328 - 129,494

Part time

14 days+

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Benefits offered by this job

Intern benefits

Job summary

NVIDIA Gruppe in Santa Clara is seeking outstanding PhD interns to advance the frontier of Physical AI and world models. This role involves conducting research in generative AI, developing algorithms for video understanding, and collaborating across teams in AI and robotics.

Applicants should be pursuing a PhD in relevant fields and have a strong background in areas like computer vision and reinforcement learning. Competitive hourly rates from $30 to $94 will be provided.

Applications accepted until May 31, 2026, with benefits included for interns.

Qualifications

  • Strong background in generative AI, computer vision, multimodal learning.
  • Prior publication record and research experience.
  • Experience with large-scale foundation model training is a plus.

Responsibilities

  • Conduct research in generative AI and multimodal foundation models.
  • Develop algorithms for video understanding and multimodal reasoning.
  • Collaborate with researchers across AI, robotics, and simulation.

Skills

Generative AI
Computer Vision
Multimodal Learning
Robotics
Reinforcement Learning
Python
PyTorch

Education

Currently pursuing a PhD in CS, EE, Robotics or related fields

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 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.

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