Silicon Quality and Reliability Engineer
Job Summary
Job Description
- Bachelor's degree in relevant field
- 5+ years experience in silicon quality/reliability
- CMOS technology and device physics experience
- Experience with industry-standard tools
- Collaborate with cross-functional teams
- Master's degree in relevant field
- 12+ years experience in silicon quality/reliability
- Semiconductor manufacturing process experience
- Experience with Reliability Verification using FA/FI
- Familiarity with test methods and hardware for silicon qualification
4 skills required
Job Details
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.
- Experience with CMOS technology and device physics.
Preferred qualifications:
- Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
- 12 years of experience in silicon quality or reliability.
- Experience in semiconductor reliability, manufacturing processes (e.g., fab, assembly, test), or IC and packaging failure mechanisms and related failure analysis.
- Strong background in CMOS technology, semiconductor reliability, manufacturing processes (fab, assembly, test), or IC and packaging failure mechanisms, and experience with Reliability Verification using Failure Analysis (FA) and Failure Isolations (FI) techniques.
- Familiarity with test methods and hardware for silicon qualification (e.g., HTOL chambers, ESD, LU, etc.), and hands-on experience in reliability modeling, Data analytics and Statistics.
- Working knowledge of Design-for-Reliability guidelines and implementation techniques, semiconductor device physics, failure mechanisms, accelerated test methodologies.
About the job
In this role, you will help build the state of the art SoC’s that power these data centers by driving quality and reliability processes in High Volume Manufacturing (HVM) from the Integrated Circuit perspective. You will have an opportunity to create silicon and follow it into the field to drive improvements for current and future generations of chips. You will work with various cross functional teams to develop HVM quality and reliability specifications. Within the larger organization, you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Collaborate with design, manufacturing, and hardware/component quality teams to ensure High Performance Computing (HPC) SOC silicon products meet quality and reliability requirements during mass production, including statistical yield limits (SBL/SYL), yield tracking, excursion monitoring.
- Drive all quality and reliability related activities prior and during mass production and lead 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 (RMA Triage, Analytics, Failure Analysis, etc.).
- Manage and drive periodic Ongoing Reliability Monitoring (ORM) activities including reject validation and data analysis activities.
- Support fleet dppm data collection, classification, and modeling.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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