PhD Research Intern, Cross-Disciplinary Vision Science – Summer 2027

at Nvidia

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 Computer Vision Deep Learning @ 2 GPU @ 3 GitHub @ 3 LLM PyTorch @ 3 Python @ 5 Rust @ 5 Software Development @ 3

Details

NVIDIA’s Human Performance and Experience (HPX) team at NVIDIA Research is seeking individuals passionate about cross-disciplinary research in vision between humans and machines. Candidates with backgrounds in computer vision, human vision science, robotic vision, and related fields are well-suited to this position. The intern will work with research scientists and engineers from varied backgrounds and collaborate closely with product engineers to help transform the future of AI and human interaction.

Responsibilities

Decompose research questions into smaller, more manageable parts and tackle them in iterative steps.
Think critically to identify unseen gaps and creatively bridge them with non-traditional, high-impact solutions.
Connect with researchers and product engineers to ground research findings in real-world problems.
Lead knowledge dissemination efforts, with options for conference, journal, and in-house publication.

Requirements

Currently pursuing a Ph.D. or equivalent academic program, demonstrated by a track record of research and publications.
Deep interest in gaming and/or human behavior in related application domains.
Training or systematic knowledge and skill in Cognitive Science, Neuroscience, Computer Science or Engineering, Electrical Engineering, or related fields.
Proficiency with Python, Rust, and/or C++.
Experience with AI model training and evaluation frameworks such as PyTorch.

Preferred Qualifications

Experience quantitatively modeling human perception, cognition, movement, and/or decision-making.
Comfort with modern software development and version-control systems such as GitHub or GitLab.
Experience with multi-node, multi-GPU training and inference workflows.
Familiarity with and interest in modern deep learning models, including large-scale, multimodal foundation models such as recent LLMs and VLMs.
A demonstrated public portfolio, such as repositories, open-source contributions, notebooks, packages, or technical blog posts with code.

Compensation and Benefits

Intern hourly rate: USD 38–94, based on position, location, year in school, degree, and experience.
Eligible for intern benefits.

Applications will be accepted at least until October 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and maintaining equal employment opportunity.