Senior Reliability Engineer

Reposted 19 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and execute product-level reliability qualification plans for advanced-node ICs and packaged devices. Collaborate with design, packaging, test, and product teams to validate reliability stress tests, analyze failures and failure mechanisms, build failure models, drive corrective actions, maintain reliability databases, and produce qualification reports and presentations.
Summary Generated by Built In

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics and data centers products. With our invention of the GPU - the engine of innovative visual computing - the field has expanded to encompass personal computer games, movie production, product design, artificial intelligence, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team. NVIDIA is now passionate about innovation at the intersection of visual processing, high-performance computing, and artificial intelligence.

Besides being a leader in AI, NVIDIA has entered the Automotive graphics' segment with GPUs since 2006. Since then, we have increased our product offerings to include complete graphics support for customer navigation and instrument clusters. It is an exciting time for the auto industry, as the car is becoming a connected system, and graphics and computing power is redefining the automobile. NVIDIA is at the forefront, providing high-end to mid-level performance solutions for these meaningful changes in automotive industry, we are now looking for a Senior Reliability Engineer. The position is an individual contributor role, working with the cross-functioning teams. Below are the required key responsibilities of the position.

What you'll be doing:

  • Develop product level reliability qualification plan and implement the qualifications of new NVIDIA products. These include IC chips in AI, Data Center, Mobile, Automotive, Deep Learning, Graphic Processor, and System on Chip sectors. These devices are assembled in either FCBGA, or COWOS, or Multi-Chip Module package. Majority of NVIDIA new products today are made of Fin-FET technologies with advanced process node.

  • Work closely with design, Customer engineering, product/test engineering and packaging engineering team to develop reliability qualification plan.

  • Work closely with DFT team and product engineering team for qualification test program, validation and run data analysis on pre/post reliability stress tests. Work with product engineering team to define device specification and margin study on critical parameters.

  • Investigate and analyze data, failures, its failure mechanisms, and develop failure models. Drive corrective and preventive actions and project field failures. To effectively handle these tasks, the engineer must have skills in mathematical analysis and reliability modellings to improve product quality and reliability stress-effectiveness.

  • Participate in assessment of reliability test requirements for non-conforming materials; and maintain and improve reliability database.

  • Have ability to communicate clearly and produce product reliability qualification reports and presentations.

What we need to see:

  • Strong technical background in wafer fab with advanced process node, and Flip Chip BGA and COWOS packaging and assembly process technologies.

  • You are equipped with knowledge of CMOS/Fin FET devices physics, and familiar with reliability statistics, and models and their failure mechanisms.

  • Must be Familiar with industry standards (like JEDEC, IPC, AEC-Q100) for Silicon Die and package level qualification. Familiar with ESD/LU testing procedure and its associated risk assessment.

  • Proficient in reliability data analysis tool such as JMP, Weibull++ and/or Minitab

  • 8+ years of experience in IC reliability

  • BS or higher degree in Electrical Engineering, Computer Engineering or equivalent experience. MS or PhD. in EE is preferable.

With competitive salaries and a generous benefits package, we are 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 and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 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.

Skills Required

  • 8+ years of experience in IC reliability
  • BS or higher degree in Electrical Engineering, Computer Engineering or equivalent experience
  • MS or PhD in Electrical Engineering
  • Strong technical background in wafer fab with advanced process nodes
  • Experience with Flip Chip BGA, FCBGA, COWOS packaging and assembly processes
  • Knowledge of CMOS/FinFET device physics and reliability failure mechanisms
  • Familiarity with industry standards (JEDEC, IPC, AEC-Q100) and ESD/LU testing procedures
  • Proficiency with reliability data analysis tools such as JMP, Weibull++ and/or Minitab
  • Ability to investigate failures, perform statistical/reliability modeling, and drive corrective actions
  • Ability to produce clear reliability qualification reports and presentations

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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