Engineering Manager, AI/ML Infrastructure, Google Compute Engine Full-time

Minimum qualifications:

• 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 in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
• 3 years of experience in building and developing large-scale infrastructure or distributed systems.

Preferred qualifications:

• Master’s degree or PhD in Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a matrixed organization.
• Experience with One Platform ecosystem and REST Application programming interface (APIs).
• Experience with Google Cloud Platform (GCP) Services like Google Compute Engine (GCE), or BigQuery.
• Experience in Spanner and SQL databases.

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 within the Google Compute Engine (GCE) Control Plane is called GCE Consumption Products – Infrastructure. The team’s mission is to develop infrastructure services to optimally schedule workloads for all Consumption tiers, providing a high degree of flexibility, efficiently managing multiple capacity pools.

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.

The US base salary range for this full-time position is $189,000-$284,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Build AI/ML Infra at scale for Google Compute Engine (GCE). Provide engineering and management leadership on the GCE Consumption Products Infra team and help evolve it.
• Manage a team of 7-10 engineers. Motivate the Googler Reviews and Development (GRAD) process for the team members.
• Manage and execute projects on the ground with regular audits to identify and surface risks, motivate escalation, get aligned with dependency and partner teams to deliver projects on predictable schedules.
• Drive major improvements in a code base which requires careful analysis, planning and roll out of changes. Own an area of the code base, keep architecture clean, and tests green.