Research Intern, Spatial Intelligence - Summer 2027

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

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA Corporation is seeking an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab in Santa Clara, CA. The role centers on advancing generative AI for videos, reconstruction, simulation, and video understanding while producing publishable research.

Ideal candidates are current second-year or higher PhD students in CS/Engineering/Mathematics with a strong publication record (CVPR/ICC CV/ECCV/NeurIPS/ICML/ICLR) and proficiency in Python, C++,

Qualifications

• Must currently be a second-year PhD student in CS/Engineering/Mathematics.
• Excellent knowledge of theory and practice of computer vision methods and deep learning.
• Excellent programming skills in Python; C++ and parallel programming (CUDA).
• Knowledge of PyTorch and common ML frameworks.
• Outstanding research track record with publications in top venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).
• Excellent communication skills and familiarity with Git.

Responsibilities

• Research, design and implement methods for generative AI for videos, reconstruction, simulation, and video understanding.
• Publish original research at the end of the internship.
• Collaborate with team members, other teams and external researchers.

Skills

Computer Vision

Deep Learning

Python

C++

CUDA

PyTorch

Communication

Git

Git

Communication

Education

PhD student (2nd year or higher) in Computer Science/Engineering/Mathematics

Computer Science/Engineering

Mathematics

Tools

CUDA

Git

Git

Job description

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.