About the role#
NVIDIA is hiring Ph.D. interns for Summer 2027 to join our Computer Vision and Deep Learning teams. This is a full-time, paid, on-site position based in Santa Clara, California. You will work on research projects that bridge the gap between theoretical exploration and real-world product application.
What you'll do#
- Design and implement new computer vision and deep learning methods.
- Work with team members and external researchers on shared goals.
- Transfer research findings to product groups to help create new technologies.
- Deliver prototypes, file patents, or publish original research.
- Focus on areas including 3D Vision, Scene Understanding, and Neural Radiance Fields.
What you'll need#
- Active enrollment in a Ph.D. program for Computer Science, Electrical Engineering, or a related field.
- A strong research background with publications at top conferences.
- Proficiency in programming languages such as Python, C++, and CUDA.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Strong communication and collaboration skills.
- Experience with large-scale model training is a plus.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- Pay: 38 USD to 94 USD per hour, depending on experience and education level.
- Sponsorship: Not provided.
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.
