Research Intern, Spatial Intelligence - Summer 2027

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking an outstanding computer vision and deep learning intern researcher to join the spatialintelligencelab. You will work on cutting-edge topics including generative AI for videos, reconstruction, simulation, and video understanding, with publication opportunities during the internship.

Strong theory and practical skills in Python, CUDA, and PyTorch are expected, along with an excellent research track record and publications in top venues.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Computer vision

Deep learning

Research

Publication record

Communication skills

Education

Second-year PhD student in Computer Science/Engineering/Mathematics

Tools

Python

C++

CUDA

PyTorch

Git

Job description

NVIDIA is searching for an outstanding computer vision and deep learning intern researcher to join the spatialintelligencelab. 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.