Software Engineering Manager, Google Kubernetes AI Infrastructure

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.

As an Engineering Manager on Google Kubernetes Engine (GKE) Artificial Intellignece (AI) Infrastructure, you will facilitate the strategic expansion of GKE AI Infrastructure, positioning GKE as the premier IaaS platform for deploying large-scale GenAI workloads. You will present a distinct opportunity to direct the strategy and execution of developing cloud infrastructure to support leading-edge GenAI applications, and to engage in close collaboration with our partners in serving several of Google Cloud Platforms (GCP’s) largest GenAI customers.