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 Machine Learning Hardware Architect, you will influence the evolution of high-performance intelligence for next-generation computing infrastructure. You will have an opportunity to drive technology that powers large-scale systems where high throughput, reliability, and efficiency are mission-critical. You will be part of a team that pushes boundaries, developing solutions that define the future of intelligent data centers and enterprise hardware. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration to deploy complex, large-scale AI models across sophisticated hardware platforms.
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 channel 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 2,171 disclosed Hardware salaries on RoleSuite, the role pays a median of $135K/year, with most offers between $109K and $172K (10th–90th percentile: $91K–$208K).
This posting lists $192K–$279K, above the $135K market median.
See the full Hardware salary breakdown →