Senior STA Signoff Methodology Engineer

Nvidia

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Work type
On-site
Location
Santa Clara, CAAustin, TX
Employment
Full-time
Posted
72 days ago
Freshness
Confirmed live today

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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 1693 open roles on FindRole.

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TL;DR · Senior STA Signoff Methodology Engineer

The Senior STA Signoff Methodology Engineer joins a team dedicated to driving signoff strategies for leading GPUs, CPUs, LPUs, and SoCs. This role focuses on optimizing performance, yield, and reliability through comprehensive modeling, insightful analysis, and automation for advanced technology nodes like 3nm and beyond. Key responsibilities include running large-scale SPICE simulations and STA experiments to model chip timing impacts, developing PNR flows for aging and thermal effects, and creating tools to improve design predictability. The position requires expertise in RC extraction, device physics, and low-power techniques like multi-Vt design and DVFS. Candidates must utilize tools such as PrimeTime, ICC2, RedHawk, and Tempus, while performing data analysis using Python, Tcl, and JMP to improve STA-to-silicon correlation across complex ASIC designs.

What you'll do

  • Run large-scale SPICE simulations and STA experiments to model advanced technology impacts on chip timing.
  • Develop STA and PNR flows addressing aging, self-heating, thermal effects, IR drop, and electromigration.
  • Define and deploy sophisticated timing-signoff strategies for high-performance silicon.
  • Develop custom tools and methodologies to improve design performance and reliability beyond standard EDA capabilities.
  • Work across STA, constraints, and timing and power optimization.
  • Perform extensive data analysis using Python or JMP to improve STA-to-silicon correlation.

What we're looking for

  • MS in Electrical or Computer Engineering, or equivalent experience.
  • 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.
  • Familiarity with 3D IC integration, die stacking and packaging, self-heating, and their impact on timing closure (preferred).
  • Strong data-analysis and modeling skills employing Python, JMP, or similar platforms (preferred).
  • Proficiency in Tcl and Python; C++ experience is a plus (preferred).

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