Senior Manager, Failure Analysis

Posted 14 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
232K-368K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads NVIDIA’s failure analysis function, personally investigating complex hardware, component, and system failures. Develops root-cause methodologies, corrective actions, testing programs, and lab capabilities; partners with engineering, manufacturing, quality, legal, and suppliers to improve product reliability. Mentors engineers, presents technical findings to varied audiences, and expands strategic failure-analysis capabilities. The role requires 40% domestic and international travel.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology — and outstanding people. Today, we're tapping into the unlimited potential of AI to develop the next era of computing. If you share our passion for invention and are ready to make a real difference, come join us.

As Head of Failure Analysis, you will lead NVIDIA's failure analysis function from start to finish. You will conduct hands-on investigations of complex hardware and system failures. You will also craft the methodologies, lab capabilities, and talent that maintain our products' innovative reliability. This role combines deep technical expertise with organizational leadership. It requires someone equally skilled at the bench and presenting to company leaders.

What You'll Be Doing:

  • Lead and personally carry out complex, multi-disciplinary failure and root cause analysis (RCA) investigations on deployed hardware, electronic components, and coordinated systems. Use advanced diagnostic techniques (SEM, FIB, digital/RF test gear), lab testing, data analytics, and structured problem-solving methods to identify exact failure modes and mechanisms.

  • Develop, complete, and validate corrective actions — both short-term fixes and long-term preventive measures — to drive product reliability at scale.

  • Partner closely with build, manufacturing, firmware, quality, and supplier teams to communicate technical findings, drive build changes, and resolve cross-functional issues.

  • Plan and complete testing programs, including engineering calculations, laboratory experiments, analytical or computational modeling, and reproduction of elusive field conditions.

  • Prepare and present written reports, proposals, and presentations conveying technical conclusions to audiences spanning engineering, legal, business, and industry collaborators.

  • Mentor junior engineers in FA procedures and guide the continuous development of organizational failure analysis methodologies, processes, and lab capabilities.

  • Identify and pursue opportunities to expand NVIDIA's FA capabilities and strategic partnerships across the supply chain and with external technical experts.

  • Domestic and international, 40% travel will be required to support investigations, supplier audits, and client engagements.

What We Need To See:

  • Ph.D. or M.S. or equivalent experience in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field, with strong theoretical and applied knowledge of structural analysis, material science, heat transfer, and fluid mechanics.

  • Over 10 years of advancing experience in failure analysis, product reliability, and materials science, with a proven record of leading investigations on complex hardware or coordinated systems.

  • 5 years of  leadership experience.

  • Extensive knowledge of failure analysis techniques, hazard recognition, and incident examination employing established frameworks; practical experience with sophisticated lab tools such as SEM, FIB, and digital/RF test instruments.

  • Demonstrated ability to troubleshoot hardware/software interactions and reproduce elusive field failure conditions in a controlled environment.

  • Experience leading multidisciplinary teams and working alongside experts in engineering, manufacturing, quality, legal, and business areas.

  • Strong written and verbal communication skills, with the ability to convey complex technical findings to engineering, legal, and business audiences.

​Ways To Stand Out From The Crowd:

  • Experience in the semiconductor, high-performance computing, or AI hardware industry, with familiarity with GPU or data-center-scale system reliability challenges.

  • Publication record or recognized contributions to FA methodology development, materials characterization, or reliability engineering.

  • Demonstrated ability to develop or enlarge a failure analysis unit, involving lab infrastructure, tool resources, and team advancement.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 19, 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.

Skills Required

  • Ph.D., M.S., or equivalent experience in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field
  • Strong theoretical and applied knowledge of structural analysis, materials science, heat transfer, and fluid mechanics
  • More than 10 years of progressive experience in failure analysis, product reliability, and materials science
  • At least 5 years of leadership experience
  • Extensive knowledge of failure analysis techniques, hazard recognition, and incident examination frameworks
  • Practical experience with SEM, FIB, and digital/RF test instruments
  • Ability to troubleshoot hardware/software interactions and reproduce field failures in controlled environments
  • Experience leading multidisciplinary teams across engineering, manufacturing, quality, legal, and business functions
  • Strong written and verbal communication skills for technical, legal, and business audiences
  • Experience in semiconductor, high-performance computing, or AI hardware industries
  • Publication record or recognized contributions to failure analysis methodology, materials characterization, or reliability engineering
  • Experience developing or expanding a failure analysis unit, including lab infrastructure, tools, and team growth

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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