PhD Research Intern, Architecture – 2027

Details

The NVIDIA Architecture Research Group is seeking an intern to help define the future of GPU and data-center computing. Research areas include 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.

In this position, you will apply 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, the 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.

Responsibilities

• 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.
• Communicate research findings through presentations, technical reports, and potentially research publications.
• Help transfer successful research ideas, methodologies, and tools into NVIDIA product teams.

Requirements

• Pursuing a PhD in a relevant discipline, such as computer science, computer engineering, electrical engineering, physics, or mathematics.
• Relevant industrial and university experience. Relevant industries include hardware, software, and algorithm development in PC or workstation graphics, digital video or image processing, video games or consoles, cell phones or consumer electronics, rendering software, and computing.
• Strong programming ability in C/C++ and scripting languages.
• Experience as a CUDA programmer.
• Experience 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.

Preferred Qualifications

• Prior research experience and/or research publications at ISCA, MICRO, ASPLOS, HPCA, or MLSYS.
• Versatility in using generative AI coding tools.
• Versatility in using GPU profiling tools and running deep-learning models on GPUs.

Benefits

Interns are eligible for NVIDIA intern benefits.

Applications for this job will be accepted at least until September 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

The internship hourly rate is USD 38–94, based on the position, location, year in school, degree, and experience.