Senior VLSI Library Methodology Engineer
Core
Architect and build automation infrastructure for library analysis, quality validation, and deployment in NVIDIA's Physical Design flows for GPUs and SoCs.
Role type
Senior IC VLSI Library Methodology Engineer
Builds
Scalable automation systems, analysis pipelines, regression frameworks, and reporting dashboards for library quality and release readiness.
Domain
Semiconductor / VLSI Physical Design / Design Automation
Required skills
Python, C++, Perl, EDA tool scripting, workflow automation, data pipeline design, system architecture, scalability design, issue triage methodologies
Preferred skills
Library model consumption in chip design flows, contextual model calibration, regression health tracking, resource utilization optimization, AI/ML/LLM application to EDA workflows
Technologies
Innovus, Fusion Compiler, Crosscheck, Virtuoso
Responsibilities
Architect scalable automation systems for verifying and reporting library quality; Build end-to-end infrastructure including analysis pipelines and dashboards; Develop automated library analysis and validation flows; Collaborate with design and CAD teams to integrate quality systems; Define methodologies for issue triage and release criteria. (via careerplan.io/jobs/893396750284-senior-vlsi-library-methodology-engineer-at-nvidia)
Seniority
Senior, hands-on IC
