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Google Inc. in Sunnyvale, CA is seeking a Product Engineering Manager, Compute and Storage to lead a team delivering ARM compute and storage hardware solutions at scale.
You will bridge hardware design and high-volume manufacturing, drive DFx, and align NPI plans with global supply chain to ensure manufacturability and reliability. You will guide a team of product engineers, own manufacturing readiness, set GA quality, manage risks, and drive continuous improvements across factory lines, with a
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corporate_fare Google place Sunnyvale, CA, USA
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 the Compute and Storage Product Engineer Lead, you will sit at the epicenter of Google's AI infrastructure ambitions, bridging the gap between hardware design and high-volume global manufacturing. Our team is responsible for ensuring next-generation ARM Compute and Storage hardware is manufacturable, testable, and reliable at scale. By driving Design for Excellence (DFx), developing robust test strategies, and solving complex production challenges, we directly enable the expansion of Google’s infrastructure.
As the Product Engineering Lead, you will guide a talented team of Product Engineers managing our portfolio of ARM compute and storage products. Serving as the technical lead for the Supply Chain NPI teams, you will act as the direct counterpart to the Hardware Engineering TL. You will build and optimize capital efficiency, minimize waste, and accelerate the deployment of the hardware powering Google’s AI future.
Your team is accountable for delivering a working product, ensuring factory readiness, establishing product quality at General Availability (GA), and mitigating technical risks. You will drive DFx, develop test strategies, execute NPI builds, improve factory yields, and manage manufacturing fallout and interdependencies.
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 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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 .
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.
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