Research Intern, Fundamental Generative AI - 2027

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration","Research","Publishing"]

Work on NVIDIA Research’s Fundamental Generative AI team to research, design, and implement novel large-scale generative AI methods. Contribute to advancing generative models for image, video, 3D, graph, and multimodal data, and support emerging applications in science. Publish original research, collaborate with research and product teams, and transfer technology to product groups.

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NVIDIA
NVIDIA
1 day ago

Research Intern, Fundamental Generative AI - 2027

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Job Summary

Work on NVIDIA Research’s Fundamental Generative AI team to research, design, and implement novel large-scale generative AI methods. Contribute to advancing generative models for image, video, 3D, graph, and multimodal data, and support emerging applications in science. Publish original research, collaborate with research and product teams, and transfer technology to product groups.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Research, design, and implement novel, large-scale generative AI methods.
  • •Publish original research.
  • •Collaborate with team members and other research and product teams.
  • •Transfer technology to product groups.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Pursuing a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc.
  • •Strong publication record at top ML venues such as NeurIPS, CVPR, ICLR, ICML, ICCV, ECCV, etc.
  • •Excellent knowledge of the theory and practice of generative AI.
  • •Strong knowledge of computer vision, 3D, NLP, or AI for science.
  • •Excellent programming skills for rapid prototyping (Python); C++ and parallel programming (e.g., CUDA) is a plus, plus familiarity with deep learning frameworks such as PyTorch.
Education:PhD / Doctorate in Computer Science/Engineering; Statistics; Electrical Engineering (etc.)
Skills:CommunicationCollaborationResearchPublishing
Tech Stack:PythonC++CUDAPyTorch

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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