PhD Research Intern: GPU Architecture & Systems

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Full time

2 days ago
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Benefits offered by this job

Intern benefits
Competitive hourly rate

Job summary

NVIDIA Corporation invites a PhD candidate to join the Architecture Research Group as an intern focused on defining the future of GPU and data-center computing. You will work across hardware and software boundaries, building models, simulators, prototypes, and tools to evaluate architectural ideas and co-design opportunities with researchers and product teams.

Ideal candidates have a strong foundation in computer architecture, parallel systems, and experience with CUDA, CPUs/GPUs programming,

Qualifications

  • Pursuing PhD in CS/CE/EE/Physics/Math.
  • Strong C/C++ and scripting skills.
  • Experience with CUDA programming.
  • Experience building computer system simulators.
  • Experience building low-level software tools like runtime systems, binary translators or compilers.

Responsibilities

  • Investigate new architecture concepts for future GPUs, memory systems, accelerators, and data-center-scale platforms.
  • Study emerging workloads to identify bottlenecks and opportunities.
  • Explore hardware-software co-design across architecture, compilers, and runtimes.
  • Develop models, simulators, prototypes, and experimental tools to evaluate ideas.
  • Communicate research findings through presentations, reports, and publications.
  • Transfer successful research ideas and tools into NVIDIA product teams.

Skills

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

Education

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

Tools

Computer system simulators
Runtime systems
Binary translators
Compilers

Job description

NVIDIA Corporation invites a PhD candidate to join the Architecture Research Group as an intern focused on defining the future of GPU and data-center computing. You will work across hardware and software boundaries, building models, simulators, prototypes, and tools to evaluate architectural ideas and co-design opportunities with researchers and product teams.

Ideal candidates have a strong foundation in computer architecture, parallel systems, and experience with CUDA, CPUs/GPUs programming,

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