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 Senior Engineer within Google's silicon team, you will help deliver products that have a substantive impact on the Technical Infrastructure that powers Google. You will provide leadership to a group of hardware engineers in a fluid environment with a focus on infrastructure for chip design. You will also lead the technical projects from the concept/planning stage through execution and closure.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Based on 7,544 disclosed Software salaries on RoleSuite, the role pays a median of $155K/year, with most offers between $123K and $196K (10th–90th percentile: $101K–$232K).
This posting lists $174K–$253K, above the $155K market median.
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