About the role#
NVIDIA is looking for a research intern to join the Spatial Intelligence lab. You will work on projects that bridge the gap between research and real-world applications.
What you'll do#
- Research, design, and implement methods for generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and VLMs.
- Publish original research by the end of your internship.
- Work with internal team members and external researchers.
What you'll need#
- You are currently at least a second-year Ph.D. student in Computer Science, Engineering, or Mathematics.
- Strong knowledge of computer vision theory and deep learning.
- Programming skills in Python for rapid prototyping.
- Experience with C++ and parallel programming, such as CUDA.
- Familiarity with machine learning frameworks like PyTorch.
- A research track record with at least 2 papers published at top venues like CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR, with at least 1 as a main author.
- Proficiency with version control systems like git.
- Excellent communication skills.
Location & details#
- This is a full-time, paid internship based on-site in Santa Clara, California.
- The term is Summer 2027.
- Compensation ranges from 38 USD to 94 USD per hour, depending on your degree, experience, and location.
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.
