Senior VLSI Library Automation & Validation Engineer

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 136,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior VLSI Library Methodology Engineer to drive scalable automation for silicon design. You will develop testable analytics pipelines, validation flows, and dashboards across GPU/SoC flows, leveraging Python, C++, and Perl to build robust systems.

You will collaborate with design, CAD, and library teams to improve cell design methodologies, ensure quality, and enable release readiness, with a focus on scalability and operational robustness. Equity and benefits are offered.

Qualifications

• MS 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, with hands-on experience building workflow automation, data pipelines, validation frameworks, and reporting/dashboard systems.
• Experience designing and implementing production-quality technical systems from an architectural and implementation point of view, including scalability and operational robustness.
• Hands-on experience with industry-standard EDA tools such as Innovus, Fusion Compiler, Crosscheck, Virtuoso, or similar, including scripting, customization, or tool integration.

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 strong focus on usability, maintainability, and scale.
• Develop automated library analysis, validation, and quality control flows using modern scripting and EDA tools, including consideration of runtime, capacity, and resource efficiency for large-scale analysis.
• Collaborate with design, CAD, and library teams to integrate quality systems and improve cell design methodologies, applying adaptive threshold partitioning.
• Define and implement methodologies for issue triage, data integrity, quality metrics, and release criteria that improve visibility and decision-making across the flow.

Skills

Python

C++

Perl

Education

MS in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

Innovus

Fusion Compiler

Crosscheck

Virtuoso

Job description

NVIDIA is seeking a Senior VLSI Library Methodology Engineer to drive scalable automation for silicon design. You will develop testable analytics pipelines, validation flows, and dashboards across GPU/SoC flows, leveraging Python, C++, and Perl to build robust systems.

You will collaborate with design, CAD, and library teams to improve cell design methodologies, ensure quality, and enable release readiness, with a focus on scalability and operational robustness. Equity and benefits are offered.