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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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