Senior Speed Characterization Engineer - Silicon Co-Design Group

NVIDIA
United States
Workplace: HybridFull timeUSD 136,000 - 264,500 annuallyFunction: Design (Product/UX/UI/Visual)Experience: 5+ yearsEducation: mastersSkills: ["Data-driven reasoning","Statistical fluency","Experimental mindset","Analytical problem-solving"]

Own silicon speed characterization from bring-up through production sign-off, measuring frequency, Vmin/Vmax, and timing margins across the full PVT space. Close the correlation gap between pre-silicon timing analysis and measured silicon, trace frequency/timing misses to their root causes, and drive resolution. Build automated test orchestration and AI-enabled characterization flows to expand coverage and reduce cycle time. Present data-driven tradeoffs to architecture, VLSI/ASIC/firmware, and product teams so decisions ship with confidence.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Speed Characterization Engineer - Silicon Co-Design Group

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Own silicon speed characterization from bring-up through production sign-off, measuring frequency, Vmin/Vmax, and timing margins across the full PVT space. Close the correlation gap between pre-silicon timing analysis and measured silicon, trace frequency/timing misses to their root causes, and drive resolution. Build automated test orchestration and AI-enabled characterization flows to expand coverage and reduce cycle time. Present data-driven tradeoffs to architecture, VLSI/ASIC/firmware, and product teams so decisions ship with confidence.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)
Seniority: Mid level

Key Responsibilities

  • •Own silicon speed characterization from first power-on through production sign-off, covering frequency, Vmin/Vmax, and timing margins across the PVT space.
  • •Close the correlation gap by tying pre-silicon timing analysis and critical path predictions to measured silicon and quantifying divergence.
  • •Trace failures to root causes (microarchitectural bottlenecks, critical paths not closing, clocking issues, or unanticipated process corners) and drive resolution.
  • •Own and build AI-driven characterization capabilities including automated test orchestration, intelligent data pipelines, and analysis flows to expand coverage and compress cycle time.
  • •Provide decision-ready data surfaces tradeoffs across architecture, VLSI, ASIC, firmware, and product teams to settle program calls.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or MS in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent experience.
  • •5+ years hands-on silicon experience including bring-up, post-silicon speed validation, frequency characterization, or timing analysis on real hardware.
  • •Strong computer architecture fundamentals (pipeline structures, clocking, memory hierarchies) and how microarchitectural decisions affect frequency and power.
  • •Depth in static timing analysis and the ability to read and reason about timing reports at block and chip level.
  • •Proficiency in silicon margining, guard-banding, and PVT/binning dependencies, with scripting depth in Python, Perl, or C/C++.
Experience:5+ yearsSemiconductorsASICDatacenterAI infrastructureHigh-performance silicon
Education:Master's in Electrical Engineering, Computer Engineering, or Systems Engineering
Skills:Data-driven reasoningStatistical fluencyExperimental mindsetAnalytical problem-solving
Tech Stack:PythonPerlC/C++Static timing analysisTiming analysisPVTVminVmaxVLSIASICFirmwareAI agentsTest orchestrationData pipelines

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor