About the job

Our mission as the Oversubscription/Power Capping team in Data Center Infrastructure Management is to manage, leverage, and advocate for power oversubscription to increase infrastructure utilization safely. We develop software to monitor and control power equipment and compute loads in Google's global fleet of data centers. We use our telemetry and analyses to provide guidance to cross-functional teams such as data center planning, scheduling, operations and research and development on capacity creating initiatives. Our team works on high impact projects and is delivering Capital Expenditure (Cap Ex) savings in infrastructure costs for Google.

The US base salary range for this full-time position is $147,000-$211,000 + 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

• Design and implement software systems for power load predictive analysis and real-time power load control.

• Analyze data center utilization, new product characteristics, and power phenomenon.

• Work with other engineering teams including Data Center Advanced Technology Innovation (DCTS), cluster management system, cluster planning, data center design and execution to create innovative power control designs.

• Work with data center users including YouTube, Cloud, Logs, Search, and Ads to optimize the power product, balancing power capacity with power availability.

Minimum qualifications

• Bachelor's degree in Computer Science, or similar technical field of study, or equivalent practical experience.

• 2 years of experience with coding in C++, Python and SQL or 1 year of experience with an advanced degree.

• 1 year of experience with production systems.

Preferred qualifications

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

• 2 years of experience with data center architecture.

• 2 years of experience with control theory.