Loading
G
Supplier Quality Engineer, Memory
GoogleMountain View, CA, USA5+ years
Apply Google welcomes people with disabilities.
Minimum qualifications:
- Bachelor's degree in Engineering (e.g., Quality, Electrical) or equivalent practical experience.
- 5 years of experience in quality, reliability, product, or test engineering, specifically focused on DRAM technologies (e.g., DDR and LPDDR components, and DIMM modules).
- Ability to travel up to 20% of the time as needed.
Preferred qualifications:
- Master’s degree in Quality or Electrical Engineering, or equivalent practical experience.
- 7 years of experience in quality, reliability, or product engineering with technical focus on DRAM nodes and high-density DIMM architectures.
- Auditor experience in quality management systems, fab, assembly or test.
- Proficiency in statistical data analysis. Experience extracting, analyzing, and building predictive quality models from factory test logs and fleet telemetries.
- Understanding of error correction and reliability features in advanced computing systems. Ability to align hardware failure mechanisms to specific mitigation strategies.
- Ability to interpret system-level failure symptoms and map to RCCA.
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.
As a Memory Supplier Quality Engineer, you work in collaboration with Suppliers, Hardware Designers, Commodity Managers, Manufacturing Engineers, and Data Center teams. You will set and manage Memory component quality and reliability standards, drive supplier factory certification audits, and lead component and manufacturing site qualifications. You will actively manage NPI and sustaining quality, continuous improvements, and ensure lessons learned are actioned back to suppliers and partner teams. You will drive true root cause failure analysis and systemic corrective actions with comprehensive preventative actions. You will extract and analyze data from supplier facilities, Google production lines, and Google data centers to verify performance and drive improvements.
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 team behind Google's groundbreaking innovations, empowering the development of our 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
- Manage the end-to-end quality, reliability, and qualification of memory components and modules from introduction through product discontinuation across varied server platforms.
- Establish field reliability metrics and predictive failure rates for memory components deployed across the computing fleet based on operational telemetry and workload stresses.
- Influence memory suppliers and contract manufacturers while providing on-site technical factory support during critical hardware quality crises.
- Drive rapid containment of fleet and factory issues using rigorous root cause corrective action and failure analysis methodologies.
- Partner with cross-functional design and manufacturing teams to implement advanced quality plans and proactively mitigate global supply chain risks.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.