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NVIDIA

Designs the chips and software that power AI

Physical Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Electrical Engineering, Computer Engineering, or equivalent experience.
  • At least 2 years of experience in physical verification, backend implementation, or VLSI signoff.
  • Strong understanding of design rule checking (DRC), layout versus schematic (LVS), antenna, and layout verification concepts.
  • Hands-on experience with Calibre, ICV, Pegasus, or equivalent physical verification tools.
  • Ability to debug verification issues across layout, extracted views, and netlist connectivity.
  • Scripting ability in Tcl, Perl, Python, or shell for automation and debugging.
  • Strong collaboration skills and attention to detail.

Responsibilities

  • Run and analyze physical verification checks such as DRC, LVS, and other tapeout-quality signoff checks.
  • Debug physical verification violations and partner with design teams to drive clean closure.
  • Review layout, netlist, and runset interactions to identify root causes and recommend fixes.
  • Support full-chip and block-level verification readiness across implementation milestones.
  • Improve physical verification flow quality, turnaround time, and automation.
  • Collaborate with methodology, CAD, and foundry-facing teams on rule interpretation and signoff quality.

Desired Qualifications

  • Experience with advanced-node signoff and foundry rule decks.
  • Familiarity with stream-out/OASIS or GDSII generation and tapeout readiness flows.
  • Experience improving physical verification automation, dashboards, or regression infrastructure.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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