NVIDIA 2027 Internships: Ph.D. Research Large Language Models

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

Develop novel research methods to advance large language and multimodal model capabilities, including techniques for training, inference optimization, and efficiency. Collaborate across internal teams and with external researchers. Translate research into product groups to deliver prototypes, patents, products, and publish original work. Opportunities include work on foundation models, transformers, long-context methods, quantization, parameter-efficient fine-tuning, and multimodal/Vision Language Models.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Large Language Models

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Job Summary

Develop novel research methods to advance large language and multimodal model capabilities, including techniques for training, inference optimization, and efficiency. Collaborate across internal teams and with external researchers. Translate research into product groups to deliver prototypes, patents, products, and publish original work. Opportunities include work on foundation models, transformers, long-context methods, quantization, parameter-efficient fine-tuning, and multimodal/Vision Language Models.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Research and develop novel methods to advance large language and multimodal model capabilities.
  • •Collaborate with internal team members, other teams, and/or external researchers.
  • •Transfer research to product groups to enable new products or product types.
  • •Deliver prototypes, patents, products, and/or publish original research.
  • •Work on research areas such as LLMs/foundation models, transformer architectures, and model efficiency/optimization (depending on internship).

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Be actively enrolled in a university pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Provide an anticipated graduation date (month and year) on your resume/CV.
  • •Strong research background with publications at top conferences.
  • •Programming skills/knowledge may include Python, C++, CUDA, and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • •Experience/training in areas such as large language/foundation models, transformer architectures, model efficiency/optimization, or multimodal/vision-language models is expected depending on the internship.
Experience:PhD researchLarge language modelsMultimodal modelsFoundation modelsDeep learningAI
Education:PhD / Doctorate in Computer Science, Electrical Engineering (or related field)
Skills:ResearchCommunicationCollaboration
Tech Stack:PythonC++CUDAPyTorchTensorflowJAX

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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