NVIDIA Logo

NVIDIA

Senior Failure Analysis Engineer, Optical Fault Isolation

Reposted 7 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
144K-265K Annually
Senior level
In-Office
Santa Clara, CA, USA
144K-265K Annually
Senior level
Perform die-level logic fault localization using physical and electrical FA and ATE (Advantest 93K). Apply LFI techniques (LVP, EMMI, SDL, OBIRCH), interpret DFT patterns (Scan, BIST, boundary scan), identify root causes, and lead cross-functional efforts with Design, Test, and Foundry teams to improve yield and reliability.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a highly skilled Senior Failure Analysis (FA) Engineer to drive die-level logic fault localization for our advanced semiconductor devices. You will work closely with our Design, Test, and DFT teams to identify root causes of silicon failures, accelerate yield improvements, and ensure the highest quality of our cutting-edge products.

What you'll be doing:

  • Die-Level Logic Fault Localization: Perform complex, hands-on failure analysis and root cause identification using physical and electrical fault isolation methodologies.

  • ATE Testing & Debugging: Utilize the Advantest 93K platform to test & characterize DUT and setup required test-looping to enable LVP, SDL and other FA techniques.

  • DFT Collaboration: Leverage knowledge of Design for Test (DFT) basics—including Scan, BIST, and boundary scan—to interpret test patterns and guide fault isolation strategies.

  • Root Cause Analysis: Analyze test results to distinguish between design, fab process, or tester-induced failures, delivering actionable corrective actions.

  • Cross-Functional Leadership: Collaborate with Product Engineering, Test Engineering, and Foundry Engineering teams to resolve yield, performance, and reliability issues.

What we need to see:

  • MS degree in Electrical Engineering, Materials Science, Physics, or a closely related field (or equivalent experience).

  • 5+ years of direct, hands-on experience in semiconductor failure analysis, yield engineering, or product engineering.

  • Strong practical experience with the Advantest 93k test platform.

  • Good understanding of DFT basics and logic fault localization.

  • Expert level experience on LFI techniques (LVP, EMMI, SDL, OBIRCH, or other photon/laser-based techniques).

  • Bonus if you also have experience with Teradyne Ultraflex plus

  • Excellent problem-solving abilities, strong technical communication skills, and a proven track record of driving complex issues to resolution.

This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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:
144,000 USD – 230,000 USD for Level 4; and 168,000 USD – 264,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

3 Minutes Ago
Hybrid
5 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads custom application development, architecture, testing, modernization, and delivery across cloud-native and on-premise environments. Translates business requirements into scalable technical solutions, coordinates software planning and releases, reviews code, applies CI/CD and automated testing, advises clients on technology decisions, coaches engineers, and advances AI-enabled engineering practices.
Top Skills: .NetAPIsAutomated TestingCi/CdCloud-Native TechnologiesJavaMicroservicesPythonReact Native
3 Minutes Ago
Hybrid
5 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Designs, develops, tests, modernizes, and maintains custom applications across cloud-native and on-premise environments. Translates business requirements into technical solutions, builds APIs and integrations, applies AI-native engineering practices, supports CI/CD and release activities, and performs debugging and code reviews. Collaborates with clients, contributes to architecture and project planning, estimates complex workstreams, and mentors junior engineers while ensuring high-quality software delivery.
Top Skills: APIsC#.NetCi/CdCloud ComputingJavaJavaScriptLow-Code PlatformsMicroservicesPythonSource ControlSwiftui
4 Minutes Ago
Hybrid
San Francisco, CA, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and implement cloud security controls across IaaS, PaaS, and SaaS environments. Conduct risk assessments, vulnerability reviews, security testing, and threat monitoring; support remediation of vulnerabilities and control gaps; document technical findings and requirements; advise clients on cloud security improvements; collaborate with technical teams; mentor junior staff; and build client relationships within PwC’s Advisory practice.
Top Skills: Cloud ArchitectureCloud SecurityIaasPaasSaaSSecurity ControlsSecurity MonitoringVulnerability Testing

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account