Research Intern, Spatial Intelligence - Summer 2027

NVIDIANVIDIASanta Clara, California, United States
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Posted

10/8/2026

Employment

Full time, Internship

Range

$38 - $94/hr

Work style

On-site

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AI summary

Core responsibilities

The intern will research, design, and implement methods for generative AI, video understanding, and reinforcement learning within the spatial intelligence lab. They are expected to collaborate with team members and external researchers to publish original research.

Requirements overview

Candidates must be at least second-year Ph.D. students with excellent knowledge of computer vision and deep learning. A strong research track record with at least two papers published at top venues is required.

Key skills

Computer visionDeep learningGenerative AIVideo understandingReinforcement learningPythonC++CUDAPyTorchParallel programmingVersion controlGitResearchCommunication skills

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Education requirements

postgraduate degree

About NVIDIA

Industry

Computer Hardware Manufacturing

Employees

52,508

Type

Public Company

Size

10,001+ employees

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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Job categories

TechnologyScience & ResearchSoftwareData & AnalyticsEngineering

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.

Requirements

  • •Computer vision
  • •Deep learning
  • •Generative AI
  • •Video understanding
  • •Reinforcement learning
  • •Python
  • •C++
  • •CUDA
  • •PyTorch
  • •Parallel programming
  • •Version control
  • •Git
  • •Research
  • •Communication skills

Benefits

  • •Intern benefits

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