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 Mechanical Manufacturing Engineer (MME) in the Advanced and Operations Engineering (AOE) Organization, you will play a key role in the design, development, and manufacturing of Google’s data center server and rack products. You will have the opportunity to work on impactful projects and make significant contributions to Google and our Contract Manufacturer's (CM's) hardware manufacturing processes. You will build and deploy technology worldwide to support the needs of compute, storage, networking, and machine learning hardware. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We are proud to be our engineers' engineers and love taking things apart so we can rebuild them. We are always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. 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 channel 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.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees