This role pays less than
61%
of similar roles. Most pay
$177,250–$216,250
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior VLSI Library Methodology Engineer, you will join the team to drive the development, specification, and implementation of scalable systems supporting library analysis, quality validation, documentation, and deployment for Physical Design flows. You will architect and implement automation systems for examining, verifying, issue checking, reporting, and release readiness across GPU and SoC flows. Your daily work involves building end-to-end infrastructure including analysis pipelines, regression frameworks, and dashboards while collaborating with methodology, library, and build teams to improve quality on advanced nodes. The role requires proficiency in Python, C++, or Perl, along with experience using EDA tools such as Innovus, Fusion Compiler, Crosscheck, and Virtuoso. You will solve complex problems regarding data integrity, quality metrics, and resource efficiency while ensuring robust automation for large-scale library modeling and physical design flows.