NVIDIA 2027 Internships: Ph.D. Research Generative AI

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

Design and implement generative AI research and related technologies, including computer vision, robotics, and other domains relevant to NVIDIA. Collaborate with team members, other teams, and external researchers, then transfer research into product groups to enable new products. Deliver prototypes, patents, and/or published research, while contributing to large-scale model training and multimodal foundation model exploration.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Generative AI

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Job Summary

Design and implement generative AI research and related technologies, including computer vision, robotics, and other domains relevant to NVIDIA. Collaborate with team members, other teams, and external researchers, then transfer research into product groups to enable new products. Deliver prototypes, patents, and/or published research, while contributing to large-scale model training and multimodal foundation model exploration.
Location: Santa Clara
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other relevant technology domains.
  • •Collaborate with team members, other teams, and/or external researchers.
  • •Transfer research to product groups to enable new products or product types.
  • •Produce deliverables such as prototypes, patents, products, and/or published original research.
  • •Contribute to research efforts in areas like multimodal foundation models, diffusion models, large language models, vision-language models, and other listed generative research topics.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full duration of the internship; indicate anticipated graduation month and year on your resume/CV.
  • •Strong research background with publications at top conferences.
  • •Strong communication and collaboration skills.
  • •Depending on the internship, prior experience or knowledge in programming skills/technologies such as Python, C++, CUDA, and deep learning frameworks (PyTorch, JAX, TensorFlow).
  • •Experience in at least one relevant research area such as multimodal foundation models, diffusion models, large language models, vision-language models, long context methods, synthetic data generation, AI for Science, protein/molecule generation, climate modeling/weather forecasting, or physics-based simulation (e.g., PDEs).
Experience:Generative AIComputer visionRoboticsLarge-scale model trainingMultimodal foundation models
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or related field
Skills:CommunicationCollaborationResearch aptitude
Tech Stack:PythonC++CUDAPyTorchJAXTensorFlowDeep Learning

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
Glassdoor
Glassdoor: 4.3
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