NVIDIA 2027 Summer Internships: Ph.D. Engineering

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Healthcare (Clinical, Medical, Wellness)Education: phdSkills: ["Research","Communication","Collaboration"]

Design and implement novel ideas across GPU/CPU and systems architectures, operating systems, AI systems, and distributed systems. Collaborate with internal teams and external researchers, then transfer research into product groups to enable new products. You’ll deliver prototypes, patents, products, and/or publish original research while working on challenging computing and graphics technology central to NVIDIA’s business.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Summer Internships: Ph.D. Engineering

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Last checked: 1 hour agoStatus: Live

Job Summary

Design and implement novel ideas across GPU/CPU and systems architectures, operating systems, AI systems, and distributed systems. Collaborate with internal teams and external researchers, then transfer research into product groups to enable new products. You’ll deliver prototypes, patents, products, and/or publish original research while working on challenging computing and graphics technology central to NVIDIA’s business.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Design and implement novel ideas in GPU/CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
  • •Collaborate with team members, other teams, and/or external researchers.
  • •Transfer research to product groups to enable new products or product types.
  • •Deliver research outcomes such as prototypes, patents, products, and/or published original research.
  • •Work on technologies central to NVIDIA’s business, including computing, graphics, and media processing systems.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Indicate your anticipated graduation month and year on your resume or CV.
  • •Have programming skills/knowledge that may include C, C++, Python, and CUDA (depending on internship).
  • •Demonstrate a strong research background with publications at top conferences.
  • •Have research experience in areas relevant to potential internships (e.g., chip/system architecture, GPU architectures, scalable memory/interconnects, power-performance-energy efficiency, or hardware-software co-design).
Experience:ResearchGPU architecturesSystemsAI/MLDistributed systems
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or related field
Skills:ResearchCommunicationCollaboration
Tech Stack:CC++PythonCUDA

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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