About the role#
NVIDIA is building Cosmos world foundation models and generative AI systems for Physical AI. This work spans robotics, autonomous driving, smart spaces, and embodied agents. The Cosmos platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for PhD interns to help advance the frontier of Physical AI and world models.
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 research experience and a track record of publications.
- Strong skills in Python and PyTorch.
- Experience with large-scale foundation model training is preferred.
- Research experience in video models, vision-language models, world models, robotics, or autonomous driving is a plus.
- Experience with distributed training, simulation, or embodied AI is also preferred.
Location & details#
- Location: Santa Clara, California.
- Employment: Full time.
- Modality: On-site.
- Pay: 38 USD to 94 USD per hour based on education, experience, and location.
- 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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