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 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.
- Experience with large-scale foundation model training, video models, VLMs, distributed training, or simulation is a plus.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Compensation: 38 USD to 94 USD per hour based on position, location, year in school, degree, and experience.
- Status: Full-time paid internship.
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
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
