Description

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:

• Master's degree or PhD in Computer Science or related technical field.
• Experience with system software, distributed systems, and complex multi-component software systems.
• Experience in developing and releasing system software products.
• Familiarity with the Linux kernel interface, and containers.
• Understanding of key concepts of performance analysis and tuning with excellent C/C programming skills.
• Excellent data analysis and SQL skills.

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.

Our team builds a high performance, reliable and efficient Borglet for ML use cases. We are part of the broader Borglet team, Google's node management agent. We are a strong, systems-heavy team that works closely with cluster management system software, the kernel, with hardware platforms and user applications. This places us in a key position in infrastructure projects and has enabled us to play a critical role in our fast-growing Google Cloud business.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Manage a team of engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware.
• Drive team's technical charter and contribute as a tech lead/manager; collaborating with partner teams as well as users across Google (e.g., Compute Infrastructure team, ML teams, Hardware Platform teams, SRE teams, Google Cloud).

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Requisition #: 116660766546764486

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