PhD Research Intern: Architecture & GPU Systems

NVIDIA; Santa Clara (CA); On-site; USD 54,443,000 - 134,674,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Architecture Research Group offers an internship in Santa Clara for PhD candidates to explore future GPU and data-center computing ideas. You will work with researchers to formulate questions, develop architecture concepts, and build models, simulators, and prototyping infrastructure to test them.

You should have a strong foundation in computer architecture and parallel systems and be comfortable building robust research prototypes while communicating insights.

Qualifications

• Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
• Relevant industrial and University experience in hardware, software, and algorithms.
• Strong programming ability in C/C++, and scripting languages.
• Experience as a CUDA programmer.
• Background with building computer system simulators.
• Experience building low-level software tools such as runtimes, translators, or compilers.
• Strong background in computer architecture and parallel computer architectures.

Responsibilities

• Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center-scale platforms.
• Study emerging workloads and identify architectural bottlenecks and opportunities.
• Explore hardware-software co-design across architecture, compilers, runtimes, and applications.
• Develop models, simulators, prototypes, and experimental tools to evaluate ideas.
• Research approaches to memory hierarchy, coherence, consistency, data movement, and system programmability.
• Collaborate with NVIDIA researchers and product groups to evaluate concepts.
• Communicate research findings through presentations, reports, and publications.

Skills

C/C++

Scripting languages

Parallel computing

Computer architecture

CPU/GPU programming

Education

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

Tools

CUDA

Job description

NVIDIA Architecture Research Group offers an internship in Santa Clara for PhD candidates to explore future GPU and data-center computing ideas. You will work with researchers to formulate questions, develop architecture concepts, and build models, simulators, and prototyping infrastructure to test them.

You should have a strong foundation in computer architecture and parallel systems and be comfortable building robust research prototypes while communicating insights.