Engineering Manager, Continuous Fleet Transformation and Optimization

Minimum qualifications: Bachelor’s degree in Computer Science, a related technical discipline, or equivalent practical experience. 8 years of experience in the technology industry, including 4 years of experience managing software developers, systems administrators, or systems architects. Experience designing and implementing distributed systems. Experience programming in one of the following: Java, C++, Python or C. Preferred qualifications: 14 years of experience in the technology industry, including 4 years of direct technical management experience of software developers and systems administrators or architects. Experience in Mathematics or operations research. Experience with Unix/Linux environments. Experience with database internals, database language theories, database design, SQL and database programming. 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. 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 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Guide a full-stack team through technical issues towards our mission of scalable and efficient machine and infrastructure planning for Google's data centers. Work closely with the brilliant minds in the Operations Decision Support, Operations Research, and Discrete Algorithms teams. Learn how Google manages the fleet with speed, agility, and efficiency, and help scale Google’s infrastructure. Learn about and interact with many infrastructure software and operational teams within Cloud and TI such as: Colossus, GIG, ODS, Operations Research, and Optimal Fleet. Explore Machine Learning options currently, as our solvers are mostly Mixed-Integer Programming-based, we look forward to the grand goal of the entire Google fleet being managed by an all-knowing, all-wise neural network.