Google

Engineering Manager, Borglet Machine Learning

place Sunnyvale, CA, USA

Found: July 3, 2026

⚠️ This job posting is no longer active and may not be accepting applications. Browse similar live jobs below, or see all current Google jobs.

Engineering Manager, Borglet Machine Learning

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 a part of the Borglet ML, you will play a critical role in Google’s internal infrastructure, new Cloud and ML business by managing fastest-growing resources. You will join a growing team making impactful contributions to Google's infrastructure and developing what is likely the most sophisticated cluster management system in the world.

In this role, you will manage a team of Software Engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware while driving the team's technical charter and contributing as their team lead/manager, collaborating with partner teams as well as users across Google.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits.

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