Software Engineer Manager, Fabric Routing

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience in networking, project management, mentoring, leadership, test infrastructure, and scalability.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience working in a complex, matrixed organization.
  

About the job

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.

In this role, you will be a part of the Fabric Routing team that manages routing and network programming for all of Google's deployments using Google's proprietary software-defined networking infrastructure. You will build networks that are among the world's largest and fastest, optimized for reliability, cost-effectiveness, and ease of revolution, often leveraging technologies unique to Google. As a part of the Fabric Routing team, your current major focus involves addressing the demanding, unprecedented scale and performance requirements of AI/ML data center use cases.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 behind Google's groundbreaking innovations, empowering the development of 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

• Establish and communicate team priorities that support the broader organization's goals while aligning strategy, processes, and decision-making across teams.
• Define clear expectations with individuals based on their level and role and aligned to the broader organization's goals, meet regularly with them to discuss performance and development and provide feedback and coaching.
• Develop the mid-term technical goal and roadmap within the scope of multiple teams and evolve it to meet anticipated future requirements and infrastructure needs.
• Lead the Fabric Routing team's continued growth to meet enormous new issues in capacity, scale, and feature set presented by AL/ML use cases in the software-defined network control plane.
• Form a new team within Fabric Routing focused on enabling velocity for the organization by areas making substantial improvements to key enabling components, such as tooling, testing, and infrastructure.