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Senior ASIC Front End Infrastructure Engineer

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Durham, NC, Austin, TX, Westford, MA$184k - $287.5kFull-timePosted 4mo ago

About the role

NVIDIA seeks an elite ASIC Infrastructure engineer to deliver tooling and environments enabling DV and RTL design for GPUs, focusing on scalable, secure, and automated infrastructure to support HW design teams and optimize front end build flows.

Responsibilities

  • Deploy AI toolsets at scale in secure configurations for use by all HW Design teams
  • Use ML/DL/AI techniques to automate Infrastructure work and improve Design team productivity
  • Improve the speed, flexibility and extensibility of the GPU front end build flow
  • Keep the GPU Continuous Integration system at the cutting edge of source management methodologies
  • Guide compute farm, filer, and network topology requirements at cloud scale
  • Deploy and continuously improve compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at cloud scale
  • Forecast HW Design compute resource and EDA needs, with reporting up to the CFO’s office
  • Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
  • Deploy information security methods for HW design
  • Remove inefficiency wherever you can find it

Qualifications

  • Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience
  • 8+ years of relevant work experience
  • Programming proficiency in Python, Perl, or other Systems Programming language. OO design preferred
  • Experience using AI tools for development and automation
  • Experience with Make based build systems in large, distributed computing environments
  • Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins
  • Tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment
  • Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologies
  • Strong problem-solving, debugging and analytical skills
  • Good interpersonal skills and ability & desire to work as a great teammate

Skills

Required:PythonMake-based build systemsCI/Pipeline (Jenkins)AI tools for development/automation
Nice to have:PerlVerification domain knowledge

Benefits

  • Equity
  • Benefits
Last updated Jul 24, 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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