← All roles

Senior STA Signoff Methodology Engineer

NVIDIA· Engineer, ASIC
Apply on company site
Santa Clara, CA, Austin, TX$168k - $310.5kfull-timePosted 2mo ago

About the role

Senior STA Signoff Methodology Engineer to drive sign-off strategies for GPUs, CPUs, LPUs and SoCs; optimize performance, yield, and reliability through modeling, analysis, and automation across NVIDIA product lines.

Responsibilities

  • Run large-scale SPICE simulations and STA experiments to model the impact of advanced technologies on chip timing.
  • Develop STA and PNR flows and recommendations addressing aging, self-heating, thermal effects, IR drop, electro migration, and other advanced-node physical effects.
  • Collaborate with technology leads, physical-design engineers, and timing engineers to define and deploy sophisticated timing-signoff strategies for extraordinary silicon performance.
  • Develop tools and methodologies that improve design performance, predictability, and silicon reliability beyond the capabilities of standard EDA tools.
  • Work across STA, constraints, and timing and power optimization.
  • Perform extensive data analysis using Python, JMP, or similar tools to improve STA-to-silicon correlation.

Qualifications

  • MS in Electrical or Computer Engineering, or equivalent experience, with 8 years of experience in ASIC design and timing.
  • Solid understanding of RC extraction, device physics, STA methodologies, and EDA-tool limitations.
  • Proven foundation in the mathematics and physics underlying electrical design.
  • Experience with low-power techniques, including multi-Vt design, clock gating, power gating, activity-based power analysis, DVFS, and CDC.
  • Understanding of signal and power integrity, crosstalk, electromigration, noise, OCV, timing margins, clock jitter, and IR drop.
  • Understanding of standard-cell, memory, and I/O IP modeling and their use in ASIC flows.
  • Hands-on experience with advanced FinFET and emerging CMOS technologies at 5 nm, 3 nm, 2 nm, and beyond.
  • Familiarity with industry-standard ASIC tools such as PrimeTime, ICC2, RedHawk, and Tempus.
  • Strong communication skills and a collaborative working style.

Skills

Required:SPICE simulationsSTA methodologiesRC extractionLow-power techniquesSignal/power integrityIP modelingFinFET/CMOS techEDA toolsData analysis with Python/JMP
Nice to have:Programming languages

Benefits

  • equity and benefits (per company offerings)
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm

More open roles at NVIDIA