PhD Research Intern: Multimodal AI & World Models

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

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.