Hardware Emulation Lab Engineering Lead

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 be instrumental in sustaining operational stability and enabling the rapid expansion of the emulation infrastructure for CI2 across two emulation labs. You will manage rapidly growing install base of over 50 racks of specialized hardware from vendors like Cadence and Synopsys, along with multiple corporate and production hosts, all requiring specialized care and feeding.

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 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.

Responsibilities

• Lead the physical and logical planning for new emulator installations and system reconfigurations.
• Collaborate with Electronic design automation (EDA) vendors to install, integrate, and maintain emulation systems.
• Align with engineering stakeholders to forecast emulation capacity requirements, ensuring fleet availability supports long-term product development roadmaps and schedules.
• Oversee the full system life-cycle, including the end-of-life (EOL) of older systems and the onboarding of new generations.
• Configure and manage the life-cycle of runtime corporate and production hosts, Lab network connectivity and specialized hardware (e.g., speedbridges, IO boards).