About the job

Part of data center infrastructure management (DCIM) power in the AI and infrastructure (AI2) organization, the Power Modeling team’s mission is to build tools and services to gather and serve accurate power data about how our fleet of data centers are planned and built, from power grid to chips, enabling maximum utilization of infrastructure, software reliability (e.g., Compute infrastructure, Colossus), and optimal cluster planning. To accomplish this mission, we create highly reliable services, software tools and UIs to model all power topologies of Google’s data centers from the power sub-station to the racks and in-rack devices, which is critical for optimal planning, safe and reliable operation, and optimal infrastructure utilization. We compute and serve the failure domain data needed to avoid correlated failures in job scheduling and Colossus data placement, which is critical for Google’s reliability and represent accurate hardware power and thermal models, critical for validating rack design, rack placements and maximizing data center power and cooling infrastructure utilization, while staying within deployment constraints.

The US base salary range for this full-time position is $141,000-$202,000 + 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 power topology, which constructs and serves the topological data representing all current and planned power graphs in our data centers.

• Manage powergrab and powermap, used by technicians in data centers to collect and update power topology data by scanning racks and power equipment.

• Manage failure domains, a dependency of Colossus used to make decisions about production data and job placement.

• Record power connections feeding racks and in-rack devices.

• Analyze power utilization of production and ML machines to verify and increase confidence of the power models.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience in software development.

• 2 years of experience building and managing distributed software systems and infrastructure.

• 1 year of experience with coding in C++.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.

• Experience in web applications, front-end development, angular.

• Familiarity with managing Google specific productions systems (Compute infrastructure Corp, etc.).

• Excellent coding skills in Java, Typescript, Angular, C++ etc.