Software Engineering Manager, Diagnostics, Cloud Platforms

Job description

from Google careers

In this role, you will lead the engineering efforts that safeguard Google's hardware integrity while supporting the growing machine deployment. You will be responsible for managing critical projects involving Intel and Advanced Micro Devices (AMD) CPU servers, as well as high-performance GPU server projects. Your central tasks involve defining the technical goal for diagnostic infrastructure that expands with the fleet, managing engineering teams, and ensuring that the AI/ML platforms are diagnosed and repaired with high precision at unprecedented scale.

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

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
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