PhD Research Intern - GPU Architecture & Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

The NVIDIA Architecture Research Group seeks an intern to help define the future of GPU and data-center computing. You will work with researchers to formulate questions, develop architecture concepts, and build models, simulators, and prototypes to test them.

You will apply your knowledge of computer architecture, parallel systems, and compilers to explore hardware-software co-design across GPU platforms. This internship offers hands-on experimentation and potential publication opportunities.

Qualifications

• Pursuing PhD in CS/CE/EE/Physics/Math.
• Experience in hardware-software co-design is a plus.
• Strong programming ability in C/C++, and scripting languages.
• Experience as a CUDA programmer.

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 new architecture ideas.
• Research 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, reports, and publications.
• Help transfer research ideas into NVIDIA product teams.

Skills

C/C++ programming

CUDA programming

Scripting languages

Parallel computing

Computer architecture

Simulation/Modeling

Runtime systems

Education

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

Tools

CPU/GPU programming

Computer architecture modeling

Job description

The NVIDIA Architecture Research Group seeks an intern to help define the future of GPU and data-center computing. You will work with researchers to formulate questions, develop architecture concepts, and build models, simulators, and prototypes to test them.

You will apply your knowledge of computer architecture, parallel systems, and compilers to explore hardware-software co-design across GPU platforms. This internship offers hands-on experimentation and potential publication opportunities.