Senior VLSI Library Methodology Engineer
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About this opportunity
About the opportunity: NVIDIA is seeking a Senior VLSI Library Methodology Engineer to drive the development, specification, and implementation of scalable automation systems.
In this role, you will support library analysis, quality validation, documentation, and deployment for NVIDIA’s Physical Design flows.
You will help build robust, data-driven automation and infrastructure while collaborating with methodology, library, and build teams to improve quality, efficiency, and scalability on advanced nodes.
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, 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
Qualifications
- 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, 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 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
Nice to have
- Understanding of how library models are consumed in chip design flows, including synthesis, place and route, timing closure, and power analysis
- Experience building robust quality systems for library modeling, validation, or physical design automation, including exposure to contextual model calibration
- Background in designing infrastructure that tracks critical metrics such as validation pass rates, regression health, issue trends, release readiness, and resource utilization
- Experience balancing analysis quality with runtime, compute capacity, and infrastructure efficiency in large-scale automation environments
- Applied AI/ML/LLM experience to improve EDA workflows, automation systems, or design methodologies
Benefits
- Equity eligibility
- Comprehensive company benefits
Job details
- Base salary range: 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and peer pay
- Application deadline: Accepted at least until October 9, 2026
About the company: NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years through great technology and amazing people.
Today, the company is tapping into the unlimited potential of AI to define the next era of computing where GPUs act as the brains of computers, robots, and self-driving cars.
As an NVIDIAN, you will be immersed in a diverse, supportive environment inspired to do your best work and make a lasting impact on the world.
Full listing
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