PhD Research Intern, Architecture – 2027

NVIDIA
Santa Clara, Seattle
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Architecture & Urban PlanningEducation: phdSkills: ["Communication","Independent drive","Cross-functional collaboration","Research prototyping","Problem-solving"]

Help define the future of GPU and data-center computing by exploring architecture concepts for future accelerators, memory systems, and emerging workloads in AI and scientific computing. You’ll partner with researchers and product architects to formulate questions, build and evaluate models, simulators, prototypes, and experimental infrastructure, and communicate findings through technical reports and presentations—aiming to transfer successful ideas into NVIDIA product teams.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

PhD Research Intern, Architecture – 2027

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Last checked: 15 hours agoStatus: Live

Job Summary

Help define the future of GPU and data-center computing by exploring architecture concepts for future accelerators, memory systems, and emerging workloads in AI and scientific computing. You’ll partner with researchers and product architects to formulate questions, build and evaluate models, simulators, prototypes, and experimental infrastructure, and communicate findings through technical reports and presentations—aiming to transfer successful ideas into NVIDIA product teams.
Location: Santa Clara, Seattle
Workplace: Onsite
Employment Type: Internship
Job Function: Architecture & Urban Planning
Seniority: Intern level

Key Responsibilities

  • •Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center-scale computing platforms.
  • •Study emerging workloads and identify architectural bottlenecks and opportunities.
  • •Explore hardware–software co-design across architecture, compilers, runtime systems, programming models, and applications.
  • •Develop models, simulators, prototypes, and experimental tools to evaluate architecture ideas.
  • •Clearly communicate research findings through presentations, technical reports, and potentially research publications.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Pursuing a PhD in a relevant discipline (CS, CE, EE, Physics, or Math).
  • •Strong foundation in computer architecture and parallel computer architectures.
  • •Strong programming ability in C/C++ and scripting languages.
  • •Experience with architecture modeling and simulation, workload analysis, and/or compilers and runtime systems; comfortable building research prototypes.
  • •Experience with some combination of CUDA programming, building computer system simulators, and developing low-level tools (runtime systems, binary translators, or compilers).
Experience:HardwareSoftwareAlgorithm developmentAIScientific computingAccelerated computing
Education:PhD / Doctorate
Skills:CommunicationIndependent driveCross-functional collaborationResearch prototypingProblem-solving
Tech Stack:CC++CUDAScripting languagesGPU profilingCompilersRuntime systemsBinary translatorsSimulatorsModelsPrototypesExperimental toolsGPU microarchitectureMemory systemsMemory consistencyDL modelsCUDA programmingGenerative AI coding tools

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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