Senior VLSI Methodology Engineer - Library Quality

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior VLSI Methodology Engineer in Santa Clara, CA to design automation for library modeling, validation, and release of PD flows. You will build scalable validation pipelines, integrate data-driven dashboards, and collaborate with design teams to raise modeling standards.

The ideal candidate has a MS in EE or related field, 4+ years in library/physical design, and strong Python/C++/Perl scripting skills, with hands-on experience in industry-standard EDA tools.

Qualifications

• MS in Electrical Engineering or related field (or equivalent experience).
• 4+ years of Library, Physical Design, and/or CAD methodology experience.
• Hands-on development with industry-standard EDA tools (Innovus, Fusion Compiler, Crosscheck, Virtuoso), including scripting or tool integration.
• Advanced Python, C++, or Perl skills; workflow automation and data pipelines experience.

Responsibilities

• Build scalable systems (validation pipelines through dashboards) for quality checking of GPU/SoC libraries.
• Develop automated library analysis, validation, and quality control flows using scripting and EDA tools.
• Collaborate with design teams to integrate library quality systems and enhance cell design methodologies.
• Define and implement guidelines for library modeling, abstraction, and data integrity.

Skills

Python

C++

Perl

Data pipelines

Education

MS in Electrical Engineering or related field

Tools

Innovus

Fusion Compiler

Crosscheck

Virtuoso

Job description

NVIDIA is seeking a Senior VLSI Methodology Engineer in Santa Clara, CA to design automation for library modeling, validation, and release of PD flows. You will build scalable validation pipelines, integrate data-driven dashboards, and collaborate with design teams to raise modeling standards.

The ideal candidate has a MS in EE or related field, 4+ years in library/physical design, and strong Python/C++/Perl scripting skills, with hands-on experience in industry-standard EDA tools.