NVIDIA 2027 Internships: Ph.D. Research Computer Architecture and Systems

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 38 - 94 hourlyFunction: Architecture & Urban PlanningEducation: phdSkills: ["Communication","Collaboration"]

Design and implement novel ideas in GPU/CPU architectures, systems architectures, operating systems, AI systems, and distributed systems to advance NVIDIA’s computing and graphics technologies. Collaborate with teammates and external researchers, then transfer research into product groups to enable new products. Deliverable outcomes can include prototypes, patents, and original research, supported by strong research foundations and publications.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Computer Architecture and Systems

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Job Summary

Design and implement novel ideas in GPU/CPU architectures, systems architectures, operating systems, AI systems, and distributed systems to advance NVIDIA’s computing and graphics technologies. Collaborate with teammates and external researchers, then transfer research into product groups to enable new products. Deliverable outcomes can include prototypes, patents, and original research, supported by strong research foundations and publications.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
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 other team members, teams, and/or external researchers.
  • •Transfer research to product groups to enable new products or product types.
  • •Deliver research outcomes including prototypes, patents, and/or publishing original research.
  • •Work with targeted architecture/system areas such as memory, interconnects, scheduling, and performance/energy efficiency in large-scale systems.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Must be actively enrolled in a university pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Anticipated graduation month and year must be indicated on your resume or CV.
  • •Strong research background with publications at top conferences.
  • •Depending on the internship, prior experience or knowledge in programming skills/technologies including C, C++, Python, and CUDA may be required.
  • •Experience/research in at least one area such as chip/system architecture, GPU and multi-GPU architecture, scalable memory/interconnects, or systems for AI/ML may be required.
Experience:ResearchAI/ML
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or a related field
Skills:CommunicationCollaboration
Tech Stack:CC++PythonCUDAGPUCPUOperating systemsDistributed systemsAIAI/MLLLM trainingCompilersHigh-performance networkingVLSIEDAElectronic Design AutomationNetworkingSparsityHardware-software co-design

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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