Engineering Manager, ML Efficiency, Technical Infrastructure

Google • Sunnyvale, CA

2d

About The Position

Like Google's own ambitions, the work of a Software Engineer goes way 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 lead the Flume Efficiency team. Your primary mission of this team will be to optimize flume's execution engine to deliver substantial savings for Google, impacting both machine learning (ML) and non-ML workloads. You will lead a growing team of approximately 14 software engineers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 3 years of experience building and developing large-scale infrastructure or distributed systems.
• 3 years of experience in a people management or team leadership role.

Nice To Haves

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in structured organization.

Responsibilities

• Discover and implement new optimization techniques to drive fleet-wide efficiency.
• Deliver end-to-end impact across various resource types, including TPUs, RAM, Spindles, and GCU.
• Lead research into AI-driven optimization strategies.
• Build and maintain partnerships with Google-wide efficiency teams such as TI Dev, ARM, Compiler, Proto, and Finance.
• Provide technical guidance and collaborate effectively with tech leads, leadership, and key stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees