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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 will 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 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.