EDA Workflow Optimization Engineer
Nvidia
At a glance
AI generatedAs a Senior P&R Methodology Architect on our cutting-edge EDA team, you will define and own the next generation RTL2GDS flow for advanced nodes and high-performance GPU, CPU, and SoC designs. Your daily tasks include working closely with core P&R engine developers to optimize real-world problems, rolling out new flows, conducting A/B experiments using Python-based analytics, and driving methodologies to resolve QoR issues. You will also collaborate extensively across various engineering teams as a key technical leader. The ideal candidate has 8+ years of physical design experience with deep expertise in tools like ICC2/Innovus and PrimeTime/Tempus, along with strong skills in Python, Perl, and TCL flow development. Experience with AI/ML applications in physical design is highly desirable, as you will be tackling complex challenges at the forefront of semiconductor technology.
Skills
What you'll do
What we're looking for
Market check
This $168,000–$264,500 range sits above 68% of similar postings on FindRole.
Peer median band
$148,300–$238,875
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$159,750–$235,000
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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