PhD Research Intern: Multimodal Foundation AI

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking PhD interns to advance Cosmos world foundation models and generative AI for Physical AI across robotics and autonomous systems. You will conduct research in multimodal AI, develop video and language models, and collaborate with cross-disciplinary teams to publish breakthroughs and transfer innovations into NVIDIA products.

The internship offers competitive hourly rates (38–94 USD) based on location and experience, with benefits for interns and a closing date of September 27,

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 programming

Research experience

Publications

Multimodal learning

Education

Currently pursuing a PhD in CS/EE/Robotics

Tools

PyTorch

Job description

NVIDIA is seeking PhD interns to advance Cosmos world foundation models and generative AI for Physical AI across robotics and autonomous systems. You will conduct research in multimodal AI, develop video and language models, and collaborate with cross-disciplinary teams to publish breakthroughs and transfer innovations into NVIDIA products.

The internship offers competitive hourly rates (38–94 USD) based on location and experience, with benefits for interns and a closing date of September 27,