NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning

at Nvidia

📍 Santa Clara, United States

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 CUDA @ 3 Communication @ 3 Computer Vision Deep Learning @ 3 PyTorch @ 3 Python @ 3 TensorFlow @ 3

Details

NVIDIA is seeking strategic, ambitious, collaborative, and creative Ph.D. students for internships with its Computer Vision and Deep Learning teams. Interns will gain hands-on experience conducting research and helping address challenging problems in AI and accelerated computing.

Responsibilities

Design and implement novel computer vision and deep learning methods.
Collaborate with team members, other teams, and external researchers.
Transfer research to product groups to enable new products or product categories.
Deliver prototypes, patents, products, and/or original research publications.

Requirements

Actively enrolled in a university Ph.D. program in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
Clearly indicate the anticipated graduation month and year on the resume or CV.
Strong research background with publications at top conferences.
Excellent communication and collaboration skills.
Depending on the internship, prior experience or knowledge may include Python, C++, CUDA, and deep learning frameworks such as PyTorch and TensorFlow.
Experience with large-scale model training is a plus.
Research experience in at least one of the following areas:
- 3D vision and scene understanding, including optical flow/scene flow, SLAM, depth estimation, and digital twins
- Human-centric vision, including human motion modeling, human avatar creation, and physics-based clothing, hair, and body simulation
- Neural rendering and generative 3D, including diffusion models, world models, neural radiance fields (NeRFs), novel view synthesis, and 3D content creation
- Model architectures and efficiency, including efficient deep learning, model pruning and compression, efficient vision transformers, and neural architecture search (NAS)
- Multimodal and vision-language models
- Synthetic data generation
- Weather and atmospheric simulation

Benefits

Intern benefits are available.
Applications are accepted on an ongoing basis.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.