In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Circuit Design Engineer and Foundry Interface you will collaborate with our foundry partners as well as our technology, circuits, physical design, and front end teams to overcome and deliver cutting-edge ASIC’s and SoC’s. You will drive engaged and reliable products by identifying the optimal process nodes, methodologies, and IPs for our designs. You will further support on time and high quality delivery of design kits, IPs, and related collaterals to our internal teams and design flows. You will develop novel high performance computing design methodologies that co-optimize across the entire design space, then see these through from inception to maturity and tapeout. 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.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees