Senior Software Engineering Manager, AI Infrastructure

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

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.

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

• Act as site lead to set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams.
• Set expectations with people based on their level and role and aligned to the organization's goals. Meet with people to discuss performance and development and provide feedback and coaching.
• Develop the technical goal and roadmap within the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Oversee systems designs, and review product or system development code to solve problems.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with programming in C++.
• 7 years of experience in building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience with working in a matrixed organization.
• Experience with leading a team of engineers to build Artificial Intelligence (AI) infrastructure services.