ATE Test Infrastructure Engineer, TPU Cloud
Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline About the job 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.
In this role, you will drive the post-silicon New Product Introduction (NPI) and high-volume manufacturing test strategies for Google's next-generation TPU and High-Performance Computing (HPC) products. You will develop and validate advanced Automated Test Equipment (ATE) programs, create pre-silicon test solutions, and build automated tools to optimize the entire silicon testing life-cycle. 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 behind Google's groundbreaking innovations, empowering the development of 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
$138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .
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