PhD Research Intern, Architecture

NVIDIA

. Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center-scale computing platforms .

Posted 9/17/2026full-timeSanta Clara • California • United StatesEntry Level💰 $38 - $94 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU architecture, memory systems, and hardware-software co-design, with strong programming skills in C/C++ and CUDA. Proven ability to develop models and simulators, along with a solid background in computer architecture and parallel computing.

Highest-signal resume keywords

PhD Degree In Computer ScienceStrong Programming Ability In C/C++CUDA Programming ExperienceComputer Architecture ExpertiseResearch Publications In ISCA/MICRO/ASPLOS/HPCA/MLSYS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming In C/C++CUDA ProgrammingBuilding Computer System SimulatorsDeveloping Low-Level Software ToolsComputer ArchitectureParallel Computer ArchitecturesMemory Hierarchy ResearchData Movement OptimizationSystem-Level ProgrammabilityResearch Methodologies

Soft Skills

CollaborationCommunication

Tools & Technologies

Generative AI Coding ToolsGPU Profiling ToolsDeep Learning Models

Industry Keywords

Data-Center-Scale ComputingArchitecture ConceptsEmerging WorkloadsArchitectural BottlenecksHardware-Software Co-Design

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

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
Research approaches to memory hierarchy, coherence, consistency, data movement, and system-level programmability
Collaborate with NVIDIA researchers, GPU architects, software teams, and product groups
Communicate research findings through presentations, technical reports, and potentially research publications
Help transfer successful research ideas, methodologies, and tools into NVIDIA product teams

Requirements

What you’ll need

Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math)
Relevant industrial and University experience
Strong programming ability in C/C++, and scripting languages
Experience as a CUDA programmer
Background with building computer system simulators
Experience building efficient low-level software tools such as runtime systems, binary translators, or compilers
Strong background in computer architecture and parallel computer architectures
Prior research experience and/or research publications at ISCA/MICRO/ASPLOS/HPCA/MLSYS (standout)
Versatile in using generative AI coding tools (standout)
Versatile in using GPU profiling tools and running DL models on GPUs (standout)

Benefits

Comp & perks

Intern benefits
Hourly pay of 38 USD - 94 USD