Engineering Manager, Borglet Machine Learning

Engineering Manager, Borglet Machine Learning

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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.

Preferred qualifications:

• Experience with system software, distributed systems, and complex multi-component software systems.
• Experience in developing and releasing system software products and C/C++ programming skills.
• Familiarity with the Linux kernel interface, containers, passion for reliability, efficiency, and scale.
• An understanding of key concepts of performance analysis and tuning.
• Basic data analysis and SQL skills are valuable as well.

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 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 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities:

• Set and communicate team priorities that support the broader organization's goals, aligning strategy, processes, and decision-making across teams.
• Establish clear expectations with individuals based on their level and role and aligned to the broader organization's goals, and meet regularly with them to discuss performance, development, provide feedback and coaching.
• Develop the mid-term technical goal and roadmap for your team(s), evolving it to anticipate future requirements and infrastructure needs.
• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).