About the role#
We are looking for PhD interns to join our team working on the NVIDIA Cosmos platform. You will focus on building world foundation models and generative AI systems for Physical AI. This work spans robotics, autonomous driving, smart spaces, and embodied agents. You will contribute to multimodal world understanding, simulation, synthetic data generation, and embodied reasoning.
What you'll do#
- Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
- Develop algorithms for video understanding, video 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 you'll need#
- 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.
- Experience with large-scale foundation model training.
- Research experience in video models, vision-language models (VLMs), world models, robotics, or autonomous driving.
- Experience with distributed training, simulation, or embodied AI.
Location & details#
- Location: Santa Clara, California.
- Employment: Full-time internship.
- Modality: On-site.
- Term: Rolling.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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