Senior VLSI Library Methodology Engineer

NVIDIA is seeking a Senior VLSI Library Methodology Engineer to architect and build automation infrastructure for next-generation silicon design. The successful candidate will drive the development, specification, and implementation of scalable systems supporting library analysis, quality validation, documentation, and deployment for NVIDIA's Physical Design flows.

Responsibilities:

• Architect, specify, and implement scalable automation systems for examining, verifying, issue checking, reporting, and release readiness across GPU and SoC flows
• Build and enhance end-to-end infrastructure, from analysis pipelines and regression frameworks to dashboards and reporting systems, with a strong focus on usability, maintainability, and scale
• Develop automated library analysis, validation, and quality control flows using modern scripting and EDA tools
• Collaborate with design, CAD, and library teams to integrate quality systems and improve cell design methodologies
• Define and implement methodologies for issue triage, data integrity, quality metrics, and release criteria that improve visibility and decision-making across the flow

Requirements:

• M.S. in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience)
• 4+ years of experience in library methodology, physical design, CAD, design automation, or related VLSI infrastructure development
• Strong software development skills in Python, C++, or Perl
• Experience designing and implementing production-quality technical systems
• Hands-on experience with industry-standard EDA tools such as Innovus, Fusion Compiler, Crosscheck, Virtuoso, or similar

Benefits:

• Equity
• Benefits package