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Senior System Reliability Engineer

NVIDIA

Senior System Reliability Engineer

full-timePosted: Jul 28, 2026Updated: Aug 27, 2026Santa Clara, CA, US

Job Description

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 — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the most thoughtful people in the world. Join us at the forefront of technological advancement. GPU Servers are one of the fastest-growing segments for NVIDIA and the Artificial Intelligence industry. As the computational power increases with every GPU generation, developing efficient and reliable systems is an imperative. We are looking for a System Reliability Engineer to join NVIDIA's existing Reliability Engineering team, involved in NVIDIA's diverse system product range specifically Graphics and High-Performance Computing printed circuit boards and Data Center Servers.What you'll be doing:Represent Product Reliability Engineering in development teams.Develop and execute reliability test plans for product qualification. Collaborate with peer reliability groups for successful implementation.Define product reliability tests for products ranging from embedded, automotive, graphics cards to server, rack, and cluster products.Lead reliability testing, failure analysis, and root cause investigations; drive corrective actions to improve design and manufacturing quality.Establish and continuously improve product reliability standards, metrics, and methodologies.Participate in product and engineering design reviews, assess the reliability budget and influence changes that enhance product reliability.Collaborate cross-functionally with engineering teams, suppliers, and partners to achieve reliability targets using Design for Reliability (DfR) methods including FMEA and DoE approaches.Provide reliability predictions to access and drive product reliability to meet product requirements.What we need to see:Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.8+ years of experience in hardware reliability or hardware engineering from datacenter, systems, or computer industries.Hands-on experience in theoretical and practical Reliability concepts as it relates to high-tech electronic enterprise and consumer products.Have a strong understanding of statistical concepts and how they relate to product reliability & life analysis.Good verbal and writing skills as well as the ability to communicate at a high level.Good project management skills and ability to balance multiple simultaneous projects during development.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 the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 7, 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.

Locations

  • Santa Clara, CA, US

Responsibilities

  • Represent Product Reliability Engineering in development teams.
  • Develop and execute reliability test plans for product qualification. Collaborate with peer reliability groups for successful implementation.
  • Define product reliability tests for products ranging from embedded, automotive, graphics cards to server, rack, and cluster products.
  • Lead reliability testing, failure analysis, and root cause investigations; drive corrective actions to improve design and manufacturing quality.
  • Establish and continuously improve product reliability standards, metrics, and methodologies.
  • Participate in product and engineering design reviews, assess the reliability budget and influence changes that enhance product reliability.
  • Collaborate cross-functionally with engineering teams, suppliers, and partners to achieve reliability targets using Design for Reliability (DfR) methods including FMEA and DoE approaches.
  • Provide reliability predictions to access and drive product reliability to meet product requirements.
  • Represent Product Reliability Engineering in development teams.
  • Develop and execute reliability test plans for product qualification. Collaborate with peer reliability groups for successful implementation.
  • Define product reliability tests for products ranging from embedded, automotive, graphics cards to server, rack, and cluster products.
  • Lead reliability testing, failure analysis, and root cause investigations; drive corrective actions to improve design and manufacturing quality.
  • Establish and continuously improve product reliability standards, metrics, and methodologies.
  • Participate in product and engineering design reviews, assess the reliability budget and influence changes that enhance product reliability.
  • Collaborate cross-functionally with engineering teams, suppliers, and partners to achieve reliability targets using Design for Reliability (DfR) methods including FMEA and DoE approaches.
  • Provide reliability predictions to access and drive product reliability to meet product requirements.
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.

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