GPU Architecture & Systems Research Intern

NVIDIA

United States

On-site

USD 52,000 - 129,000

Full time

7 days ago
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Benefits offered by this job

Intern benefits
Hourly pay scale

Job summary

NVIDIA Architecture Research Group is seeking an intern to help define the future of GPU and data-center computing. This internship offers exposure to GPU microarchitecture, memory systems, and data-center hardware, with opportunities to collaborate with leading researchers and engineers.

You will apply knowledge of computer architecture, parallel computing, compilers, runtime systems, and workloads to explore hardware-software co-design, build models and simulators, and evaluate concepts for

Qualifications

  • Pursuing PhD in CS, CE, EE, Physics, or Math.
  • Industrial and University experience in hardware, software, or algorithm development.
  • Strong programming in C/C++, and scripting languages.
  • Experience as a CUDA programmer and building simulators.
  • Background in computer architecture and parallel architectures.

Responsibilities

  • Investigate new architecture concepts for future GPUs and data-center platforms.
  • Study emerging workloads to identify bottlenecks.
  • Explore hardware-software co-design across architecture, compilers, runtimes.
  • Develop models, simulators, prototypes, and experimental tools.
  • Research memory hierarchy, coherence, data movement, and system programmability.
  • Collaborate with NVIDIA researchers and product teams to evaluate concepts.
  • Present findings via presentations, reports, and publications; transfer ideas to product teams.

Skills

C/C++
CUDA
Scripting languages
Computer architecture
Parallel computing
Simulators

Education

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

Tools

Simulators
GPU profiling tools
Binary translation
Compilers
Runtime systems

Job description

NVIDIA Architecture Research Group is seeking an intern to help define the future of GPU and data-center computing. This internship offers exposure to GPU microarchitecture, memory systems, and data-center hardware, with opportunities to collaborate with leading researchers and engineers.

You will apply knowledge of computer architecture, parallel computing, compilers, runtime systems, and workloads to explore hardware-software co-design, build models and simulators, and evaluate concepts for

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