Senior VLSI Library Methodology Engineer

NVIDIA
United States
Workplace: OnsiteFull timeUSD 136,000 - 264,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: mastersSkills: ["Collaboration","Scalability","Usability","Maintainability","Operational robustness"]

Build scalable automation and verification infrastructure for NVIDIA’s physical design flows. Own the architecture and implementation of systems that support library analysis, quality validation, documentation, and release readiness across GPU and SoC work. Develop end-to-end pipelines, regression frameworks, and dashboards, leveraging modern scripting and industry EDA tools, while collaborating with methodology, library, and build teams to improve quality, efficiency, and scalability on advanced nodes.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior VLSI Library Methodology Engineer

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Last checked: 7 hours agoStatus: Live

Job Summary

Build scalable automation and verification infrastructure for NVIDIA’s physical design flows. Own the architecture and implementation of systems that support library analysis, quality validation, documentation, and release readiness across GPU and SoC work. Develop end-to-end pipelines, regression frameworks, and dashboards, leveraging modern scripting and industry EDA tools, while collaborating with methodology, library, and build teams to improve quality, efficiency, and scalability on advanced nodes.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

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

Pay and Benefits

Salary: USD 136,000 - 264,500 annually
Equity and Bonus:Equity

Key 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, including workflow automation, data pipelines, validation frameworks, and reporting/dashboard systems.
  • •Experience designing and implementing production-quality technical systems with specification, 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.
Experience:4+ yearsVLSIPhysical designDesign automationEDAChip design
Education:Master's in Electrical Engineering, Computer Engineering, Computer Science
Skills:CollaborationScalabilityUsabilityMaintainabilityOperational robustness
Tech Stack:PythonC++PerlInnovusFusion CompilerCrosscheckVirtuosoEDAAIMLLLMDashboardsRegression frameworks

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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