Silicon Quality and Reliability Engineer, Cloud

Google welcomes people with disabilities.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Zhubei, Zhubei City, Hsinchu County, Taiwan; Taipei, Taiwan
.
Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with industry-standard tools, languages, and methodologies relevant to the development of silicon-based ICs and chips.
• 5 years of experience with silicon quality or reliability.

Preferred qualifications:

• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related fields.
• 12 years of experience in silicon quality or reliability.
• Experience in reliability modeling, data analytics, statistics, and production burn-in processes and familiar with silicon qualification test methods and hardware.
• Experience with material disposition, Material Review Board (MRB), RMA analysis, IC and packaging failure mechanisms.
• Experience in CMOS technology, semiconductor reliability, and HVM processes; proficient in IC/packaging failure mechanisms and FA/FI verification techniques.
• Knowledge of Design-for-Reliability (DfR) guidelines and implementation techniques, semiconductor device physics, failure mechanisms, and accelerated testing methodologies.

About The Job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoCs that power these facilities by driving quality and reliability processes in High Volume Manufacturing (HVM) from an Integrated Circuit perspective. An understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis is essential. You will partner with cross-functional teams to develop HVM quality and reliability specifications while collaborating with global hardware teams, silicon design, validation, and engineering groups to ensure fleet excellence.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Collaborate with design, manufacturing, and hardware quality teams to ensure High Performance Computing (HPC) SoC silicon products meet requirements during mass production, including statistical yield limits (SBL/SYL), yield tracking, and excursion monitoring.
• Drive all quality and reliability-related activities prior to and during mass production, leading Material Review Board (MRB) efforts to disposition manufacturing issues.
• Drive cross-functional investigation of IC quality and reliability issues to identify root causes and develop solutions (e.g., RMA Triage, Analytics, Failure Analysis, etc.).
• Confirm failure symptoms and guide failure analysis (FA) to verify root causes, while supporting fleet DPPM data collection, classification, and modeling.
• Manage periodic Ongoing Reliability Monitoring (ORM) activities, including reject validation and comprehensive data analysis.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .