PhD Research Intern, Architecture – 2027

NVIDIA Corporation; Northern (KY); Hybrid; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation’s Architecture Research Group seeks a PhD research intern to explore future GPU architectures, memory hierarchies, and data-center platforms. You will work across hardware and software boundaries, building models, simulators, and prototypes to evaluate architectural ideas.

Applicants should be pursuing a PhD in a related field and have strong C/C++ and CUDA programming skills, plus experience with simulators and parallel computing.

Qualifications

• Pursuing PhD in a relevant discipline is required.
• Strong programming ability in C/C++ and CUDA.
• Experience with computer architecture, parallel systems, and simulators.

Responsibilities

• Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center platforms.
• Develop models, simulators, prototypes, and experimental tools to evaluate ideas.
• Collaborate with researchers and product teams and communicate findings.

Skills

C/C++ programming

Parallel computing

Scripting languages

Compiler development

Education

Pursuing PhD in CS/CE/EE/Physics/Math

Tools

CUDA programming

System simulators

Job description

## PhD Research Intern, Architecture – 2027Applylocations: US, CA, Santa Clara: US, MA, Westford: US, WA, Seattletime type: Full timeposted on: Posted Todayjob requisition id: JR2025395The NVIDIA Architecture Research Group is seeking an intern to help define the future of GPU and data-center computing. Our research spans GPU microarchitecture, memory systems and memory models, large-scale data-center hardware, emerging accelerators, and the architecture implications of new workloads in AI, scientific computing, robotics, and other rapidly evolving domains. Are you excited about exploring foundational research questions, developing new architectural ideas, and helping translate those ideas into future NVIDIA systems?In this position, you will apply your knowledge of computer architecture, parallel computing, compilers, runtime systems, and workloads to explore new hardware and hardware–software co-design opportunities. You will work with researchers and product architects to formulate research questions, develop and evaluate architecture concepts, and build the models, simulators, prototypes, and experimental infrastructure needed to test them. Projects may range from mechanisms within a GPU to memory consistency and programmability, rack- and data-center-scale architectures, and specialized hardware for emerging applications.You should have a strong foundation in computer architecture and parallel systems, an ability to work across hardware and software boundaries, and experience with some combination of architecture modeling, simulation, workload analysis, compilers, runtime systems, or CPU/GPU programming. You should also be comfortable building robust research prototypes and communicating the insights produced by your work. NVIDIA pioneered programmable GPUs and CUDA and continues to shape the future of accelerated computing. This position offers an opportunity to conduct ambitious research and have a direct impact on future products.**What you’ll be doing:*** Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center-scale computing platforms.* Study emerging workloads and identify the architectural bottlenecks and opportunities they create.* Explore hardware–software co-design across architecture, compilers, runtime systems, programming models, and applications.* Develop models, simulators, prototypes, and experimental tools to evaluate new architecture ideas.* Research new approaches to memory hierarchy, coherence, consistency, data movement, and system-level programmability.* Collaborate with NVIDIA researchers, GPU architects, software teams, and product groups to develop and evaluate promising concepts.* Clearly communicate research findings through presentations, technical reports, and potentially research publications.* Help transfer successful research ideas, methodologies, and tools into NVIDIA product teams.**What we need to see:*** Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).* Relevant industrial and University experience. Relevant industries include hardware, software, and algorithm development in PC or workstation graphics, digital video or image processing, video game or console, cell phones or consumer electronics, rendering software, and computing.* 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.**Ways to stand out from the crowd:*** Prior research experience and/or research publications at ISCA/MICRO/ASPLOS/HPCA/MLSYS* Versatile in using generative AI coding tools* Versatile in using GPU profiling tools and running DL models on GPUsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and independently driven? Do you love a challenge? Come join our Architecture Research Group and help us invent the future of Computing.Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.You will also be eligible for Intern benefits. Applications for this job will be accepted at least until September 21, 2026.