About the role#
The Architecture Research Group is looking for a PhD intern to help define the future of GPU and data-center computing. You will work on research spanning GPU microarchitecture, memory systems, and large-scale hardware. This role involves exploring hardware-software co-design to address architectural bottlenecks in AI, robotics, and scientific computing. You will contribute to foundational research and help translate ideas into future systems.
What you'll do#
- Investigate new architecture concepts for GPUs, accelerators, and data-center platforms.
- Identify architectural bottlenecks by studying emerging workloads.
- Explore hardware-software co-design across compilers, runtime systems, and applications.
- Build models, simulators, and experimental tools to evaluate new ideas.
- Research approaches to memory hierarchy, data movement, and system-level programmability.
- Collaborate with researchers, GPU architects, and product teams.
- Communicate findings through technical reports, presentations, and research publications.
- Help transfer successful methodologies and tools into product teams.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Computer Engineering, Electrical Engineering, Physics, or Mathematics.
- Relevant industrial or university research experience.
- Strong programming skills in C/C++ and scripting languages.
- Experience as a CUDA programmer.
- Background in building computer system simulators.
- Experience developing low-level software tools like binary translators, runtime systems, or compilers.
- Solid understanding of computer architecture and parallel systems.
Location & details#
- Term: Summer 2027.
- Modality: On-site.
- Locations: Santa Clara, California; Westford, Massachusetts; Seattle, Washington.
- Employment: Full-time internship.
- Compensation: Paid position.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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