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 own the development of flows, methodologies, and data management systems for physical design Electronic Design Automation (EDA) tools operating within the Google Compute Engine environment. You will survey industry trends, perform technical evaluations, and implement best practices to streamline Register-Transfer Level (RTL) to Global Distribution System (GDS) workflows, increasing the efficiency of our physical design engineers and ensuring the high quality of results for all ASIC tapeouts.
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 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 287 disclosed Semiconductor salaries on RoleSuite, the role pays a median of $180K/year, with most offers between $147K and $214K (10th–90th percentile: $131K–$243K).
Google ranks among the higher-paying employers for this role, at a $200K median across 48 disclosed postings.
This posting lists $163K–$237K, above the $180K market median.
See the full Semiconductor salary breakdown →