Summary written by USA Jobs 24 from NVIDIA's advert and our data on 17,035 current US jobs. How we check every job
At a glance
NVIDIA is hiring a Senior DFT Engineer - Post Silicon in Santa Clara, CA; Austin, TX. It is a full-time role in Hardware & Semiconductors, asking for at least 8 years of experience, first listed on November 5. The description mentions Deep learning and Statistics. NVIDIA has 149 other openings in the US, 135 of them in Santa Clara, CA. Across all employers on USA Jobs 24 there are 60 Hardware & Chips openings in Santa Clara, CA today; the typical one asks for 8 years and advertises about $213,000 a year at the midpoint.
How the pay compares
NVIDIA has not published pay for this job, or we could not find it in the advert. Of the 171 hardware & chips jobs in California on USA Jobs 24, 49% show pay, and the typical yearly midpoint among them is $202,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 293 hardware & chips jobs we list today. Statistics is the most widely requested (9% of jobs), while Deep learning is the least common (3%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on November 5 and checked it again November 5, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Santa Clara, CA (or one of 1 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 8 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Deep learning and Statistics, wherever they are true for you. Our resume guide shows how.
- Apply only through NVIDIA's own site. Our Apply button goes straight to NVIDIA's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at NVIDIA
NVIDIA has 150 openings on USA Jobs 24 today across 8 states. Most are in software & IT (80), data & AI (33) and hardware & chips (21). The biggest locations are Santa Clara, CA (136), Austin, TX (21) and Seattle, WA (8). 35% of them are remote, 7% are open to entry-level candidates and none shows pay. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert688 words
As a Senior DFT Engineer - Post-Silicon , you will take pioneering DFT capabilities beyond implementation—connecting silicon behavior, test data, and product learning to deliver robust, production-ready DFT solutions for NVIDIA’s most advanced chips.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today.
What You’ll Be Doing:
Drive post-silicon enablement of DFT capabilities from initial silicon bring-up through production ramp and lifecycle support.
Develop data-driven approaches to analyze test results, quality indicators, yield behavior, and test efficiency; translate findings into practical technical recommendations.
Influence DFT architecture and implementation by communicating post-silicon requirements early with clear metrics/what-if analysis.
Define and improve methodologies for silicon bring-up, failure analysis, test-content validation, and production deployment.
Help productize new DFT capabilities by establishing scalable flows, validation criteria, debug procedures, and documentation.
Contribute to modeling and analysis that supports test-time optimization, quality improvement, yield learning, test power.
Partner across design, product development, and test teams to align pre-silicon trade-offs with post-silicon execution.
What We Need To See:
BSEE (or equivalent experience) with 8+ years or MS with 6 years of experience in related field.
Solid understanding of DFT concepts, silicon test, and the relationship between design implementation, test content, and post-silicon behavior.
Experience with silicon bring-up, debug, validation, production test, or engineering analysis of semiconductor devices.
Ability to analyze complex datasets and use statistical or analytical approaches to identify trends, isolate issues, and support engineering decisions.
Familiarity with automated test environments and test-program flows.
Understanding of semiconductor fundamentals, including device behavior, process variation, and the impact of operating conditions on silicon results.
Strong written and oral communication skills, with an ability to collaborate effectively across technical disciplines.
Ways To Stand Out From The Crowd:
Experience moving a silicon feature, test capability, or validation flow from development through production deployment.
Working knowledge of core DFT features—including scan, ATPG, and MBIST—together with silicon characterization and manufacturing test.
Experience developing scalable engineering workflows, automation, dashboards, or analysis tools.
Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 8, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.USA Jobs 24 copied this listing from NVIDIA's official careers site on November 5, 2026 and checked it again November 5, 5:17 AM ET. NVIDIA will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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