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Senior Implementation Methodology Engineer

NVIDIA

US, CA, Santa Clara · On-site · relocation$14,000–22,042 gross/mofull-timeNVIDIA Careers (offices abroad)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Responsibilities

  • Own and continuously improve the end-to-end RTL2GDS implementation methodology — covering synthesis, place & route, CTS, and equivalence checking — for advanced-node CPU builds.
  • Evaluate new EDA tools and process node capabilities.
  • Deliver clear adoption recommendations. Serve as the technical liaison between internal teams and EDA vendors (Synopsys, Cadence) to resolve tool issues and influence vendor roadmaps.
  • Define and enforce implementation methodology BKMs and flow standards across development teams; maintain user documentation and lead training on tools and flows.
  • Build and complete rigorous A/B and multi-variant experiments to quantitatively compare flows, engine settings, and optimization strategies for QoR impact.
  • Drive aggressive PPA targets throughout the full implementation cycle.
  • Conduct deep root-cause analysis on timing closure bottlenecks, power limiters, and long-tail QoR issues.
  • Develop methodologies to resolve these problems at scale.
  • Architect and build Python/TCL/Perl automation frameworks that reduce manual engineering effort and improve design turnaround time across implementation teams.
  • Identify systemic efficiency bottlenecks across the implementation flow and eliminate them through targeted automation, data-driven regression infrastructure, and AI/ML-assisted flow optimization.

Languages

    Work format
    On-site
    Seniority
    Senior
    Posted
    12 Jun 2026
    Last verified
    In the last 5 days

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