Research Intern, Spatial Intelligence - Summer 2027

NVIDIA is hiring a Research Intern, Spatial Intelligence - Summer 2027 in Santa Clara, United States. It pays $38-$94/hr and Level rates it ; you can apply on Level.

AI in this role

Conduct advanced research in spatial intelligence, generative AI for videos, and computer vision as a PhD intern.

pytorchpythonccudagit

computer-visiondeep-learninggenerative-aireinforcement-learning

NVIDIA is searching for an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab. We are passionate about research that pushes boundaries but also has impact in the real world!

What you’ll be doing:

Research, design and implement methods for one of the key research topics of the team: generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, VLMs.
Publish original research at the end of the internship.
Collaborate with other team members and teams.
Collaborate with external researchers.

What we need to see:

Must currently be at least a second-year Ph.D. student in, e.g., Computer Science/Engineering, Mathematics.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA)
Knowledge of common machine learning frameworks, such as PyTorch.
Outstanding research track record.
Very good publication record in computer vision, with a minimum of 2 papers (1 as main author) published at top venues CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR.
Excellent communications skills.
Good knowledge of version control systems, e.g., git.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until October 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

How we rate this

Research Intern, Spatial Intelligence - Summer 2027 at NVIDIA rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Research Intern, Spatial Intelligence - Summer 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed pay is $38-$94/hr.
The role is based in US, CA, Santa Clara.
The job was posted on October 8, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer visionDeep learningGenerative AIReinforcement learningPyTorchPythonCCUDA

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where reinforcement learning was part of your work. What did you do?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, Deep learning, Generative AI, Reinforcement learning, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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