Senior GPU Architect — Lead Graphics & Parallel Compute

NVIDIA Corporation

Durham (NC)

In loco

USD 184.000 - 357.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

NVIDIA Corporation in the United States is seeking a Senior GPU Architect to lead and contribute to the GPU architecture team. You will design hardware features, develop algorithms, and build simulators to validate new ideas.

Collaborate with researchers to push graphics and parallel computing performance and create robust tooling and infrastructure. The role requires a MS in CS/EE/CE and 8+ years in GPU/CPU architecture, with strong C/C++, Perl, Python skills and a background in parallel

Competenze

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
  • 8+ years of relevant industry experience in GPU or CPU architecture.
  • Strong programming ability in C, C++, Perl and Python.
  • Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.

Mansioni

  • Design new hardware features for future graphics and parallel processing architectures.
  • Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.
  • Be knowledgeable about future parallel programming models and their impact to hardware.
  • Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures
  • Be hungry to learn and work on simulators, RTL and real silicon.

Conoscenze

GPU/CPU architecture
C/C++
Python
Perl
Parallel processing

Formazione

MS in CS/EE/CE

Descrizione del lavoro

NVIDIA Corporation in the United States is seeking a Senior GPU Architect to lead and contribute to the GPU architecture team. You will design hardware features, develop algorithms, and build simulators to validate new ideas.

Collaborate with researchers to push graphics and parallel computing performance and create robust tooling and infrastructure. The role requires a MS in CS/EE/CE and 8+ years in GPU/CPU architecture, with strong C/C++, Perl, Python skills and a background in parallel

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