Software Engineering Manager II, TPU Superpod Health Management

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally., * Set and communicate team priorities that support the broader organization’s goals. Align strategy, processes, and decision-making across teams.

• Set clear expectations with individuals based on their level and role and aligned to the broader organization’s goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Co-design, develop, test, deploy, and debug the critical software that enables our TPU ML accelerators to function seamlessly.

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree, or equivalent practical experience.

• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience in Machine Learning Infrastructure and Distributed Computing., * Master’s degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.
• Experience with Machine Learning architecture and infrastructure.

As EM of TPU Health Management team, you’ll be a key player in designing, coding, and developing features and metrics to significantly improve the health and resiliency of large-scale software across TPUs and other distributed networked hardware machines.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits