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EDA Workflow Optimization Engineer

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Durham, NC, Austin, TX, Westford, MA$152k - $241.5k + equityfull-timePosted 7mo ago

About the role

Engineer role in NVIDIA’s EDA Workflow Optimization team focusing on improving chip design flows, building scalable infrastructure, and enabling high-performance tools for global engineering teams.

Responsibilities

  • Work in a diverse team performing fast paced investigations to empower engineers to develop at the speed of light.
  • Participate in the full life-cycle of tool development, test, and deployment.
  • Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.
  • Build metrics that are reliable and easy to use by hundreds of engineers around the world.
  • Continuously improve our chip development process.
  • Directly contribute to the overall quality and time to market for our next generation chips.

Qualifications

  • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment.
  • Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.
  • Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments.
  • Hands-on experience with EDA tools.
  • Experienced in UNIX Systems programming and automation using Python and/or Shell.
  • Authoritative level usage of UNIX and UNIX utilities.
  • Excellent planning and communication skills.
  • Experience in applying data analysis principles and influencing data-driven decisions.
  • Flexibility/adaptability working in a dynamic environment with changing requirements.
  • BS in Computer Science or equivalent experience; MS (preferred).
  • 5+yrs of relevant experience.

Skills

Required:Unix engineeringSystem programmingData analysis

Benefits

  • equity
  • benefits
Last updated Oct 23, 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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