PhD Research Intern, Generative AI - 2026

Details

NVIDIA is 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. Outstanding PhD interns will help advance the frontier of Physical AI and world models.

Responsibilities

• Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
• Develop algorithms for video understanding and generation, action-conditioned simulation, multimodal reasoning, and policy learning.
• Train and evaluate large-scale models using video, image, language, robotics, and 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.

Requirements

• Currently pursuing a PhD in computer science, electrical engineering, robotics, or a related field.
• Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
• Prior publication record and research experience.
• Strong Python and PyTorch skills.

Preferred Qualifications

• Experience with large-scale foundation model training.
• Research experience in video models, vision-language models, world models, robotics, or autonomous driving.
• Experience with distributed training, simulation, or embodied AI.

Benefits

Interns are eligible for NVIDIA intern benefits. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.

Applications will be accepted at least until May 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.