Senior VLSI Methodology Engineer

Job Title

Senior VLSI Methodology Engineer

Role Summary

The Senior VLSI Methodology Engineer will design and maintain automation infrastructure for library modeling, validation, and release within NVIDIA physical-design flows. The role partners with cell-design and process teams to build data-driven pipelines, verification systems, and quality controls for advanced-node GPU and SoC libraries.

Experience Level

Senior - the posting requests 4+ years of relevant experience.

Responsibilities

Operate and expand automated systems that ensure library quality and support PD flows.

• Build scalable validation pipelines and dashboards for library quality checking.
• Develop automated library analysis, validation, and quality-control flows using EDA tools and scripting.
• Integrate library quality systems with design teams; improve cell-design methodologies and threshold partitioning.
• Define and implement guidelines for library modeling, abstraction, and data integrity.

Requirements

Must-have technical skills and experience.

• 4+ years of experience in library development, physical design, or CAD/methodology roles.
• Hands-on experience with industry EDA tools (e.g., Innovus, Fusion Compiler, Crosscheck, Virtuoso) including scripting, customization, or tool integration.
• Advanced scripting/programming in Python, C++, or Perl and experience building automation workflows and data pipelines (collection, validation, reporting/dashboards).

Nice-to-have:

• 2+ years specifically in library modeling/validation, quality systems, or physical-design automation.
• Understanding of how library models are consumed in synthesis, place-and-route, timing closure, and power analysis.
• Experience building model-calibration workflows, system-level quality models, or integrated dashboards tracking release readiness and regression health.
• Applied AI/ML/LLM experience to enhance EDA tools or automation.

Education Requirements

M.S. in Electrical Engineering or a related field, or equivalent practical experience (the posting explicitly states "M.S. in Electrical Engineering or related field (or equivalent experience)").

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.