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NVIDIA

Designs the chips and software that power AI

Senior DFT Power Methodology Engineer

Full-TimeUpdated on 10/23/2026Deadline 10/26/26
$168k - $310.5k+ Equity
Expert
Bachelor's, Master's, PhD
Canada+2 moreMore locations: Santa Clara, CA, USA | United States
In Person
Hardware EngineeringHardware Validation & Testing
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A Bachelor of Science in Electrical Engineering or equivalent experience with 12 or more years of experience in DFT design and power, a Master of Science in Electrical Engineering with 10 or more years, or a PhD with 6 or more years.
  • Understanding of fundamental design-for-test topics and VLSI areas of power, timing, and voltage noise.
  • Excellent knowledge of statistical tools for data analysis and insights.
  • Good exposure to cross-functional areas including RTL and clock design, static timing analysis, place-and-route, and power.
  • Experience in silicon debug and bring-up on ATE or SLT platforms.
  • Ability to think like a programmer to translate work into action using AI coding harnesses.
Responsibilities
  • Innovate in DFT Power, Thermal, and Voltage Noise Methodology areas.
  • Develop low-power and thermal solutions for manufacturing tests at conditions that push the boundaries for datacenter GPUs.
  • Partner with Product Development and Power Architecture teams to implement new methodologies to improve outgoing chip quality.
  • Perform post-silicon power data analysis to architect next-generation solutions.
  • Develop and deploy DFT methodologies for next-generation products using applied machine learning and generative AI solutions.
  • Mentor junior engineers on test designs and trade-offs, including cost and quality.
Desired Qualifications
  • Experience with Power Analysis, Thermal Analysis, and IR Drop tools.
  • Experience applying AI to EDA-related problem-solving.
  • Experience managing DFT Power Methodology for designs.
  • Experience in post-silicon debug for thermal and IR Drop.
  • Strong written and oral communication skills and curiosity for challenging problems.
  • Understanding of technology and passion for the work.
  • Collaborative and interpersonal skills, including the ability to guide and influence effectively in a dynamic environment.

About the company

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, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

  • Company Equity
  • 401(k) Company Match

Growth & Insights and Company News

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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