at Google
Location
Sunnyvale, CA, USA
Compensation
$163k–$236k USD
Type
full time
Posted
Today
Market range · company + function + seniority
p25 · target · p75 · n=83
Posted $236k · above the band
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In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.
Google’s data centers are some of the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving development of comprehensive ATE test solutions for high volume manufacturing. You'll create silicon and follow it into the field to close the loop back to design and test for the next generations of chips. You'll help to integrate SoC technologies into devices and drive ATE manufacturing testing to validate performance and screen bad devices. You will work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs.
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 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.More open roles at Google
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