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Senior GPU Architect, Deep Learning

NVIDIA· Architect
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US, CA, Santa Clara, US, NC, Durham, US, TX, Austin$184k - $287.5kfull-timePosted 7mo ago

About the role

Senior role in NVIDIA's GPU Architecture group focusing on designing and validating hardware features and software tools to advance deep learning workloads (training and inference) and parallel computing performance.

Responsibilities

  • Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.
  • 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.

Qualifications

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
  • Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware.
  • 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience).
  • Strong programming ability in C, C++, Perl and Python.
  • Background in computer architecture, parallel processing, signal processing and/or high performance computing.
  • Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus.

Skills

Required:CC++PerlPython

Benefits

  • base salary and equity eligibility.
  • benefits as described at NVIDIA benefits page.
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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