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.
