Software Engineer, System Validation - EDA Infrastructure
Nvidia
At a glance
AI generatedAs an engineer in NVIDIA’s EDA Workflow Optimization team, you will collaborate closely with global engineering teams to analyze and enhance chip design workflows from inception through production. Your daily tasks include conducting investigations to identify flaws and opportunities, developing metrics for continuous performance measurement, and working with a team of experts to build new infrastructure in an agile environment. You will leverage your expertise in UNIX systems programming, Python scripting, and EDA tools to create scalable, reliable systems that enable the next generation of innovative chips. This role requires strong experience in debugging complex problems, hands-on knowledge of storage, networking, and compute technologies, and proficiency with job schedulers like IBM Spectrum LSF and SLURM, as well as GPU-based workloads in batch computing environments.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 77% of similar postings on FindRole.
Peer median band
$122,500–$207,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$134,725–$192,500
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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