Minimum qualifications: + Bachelor's degree in engineering, physical science, a related field, or equivalent practical experience. + 5 years of experience analyzing and modeling dynamic systems. + 5 years of experience with machine learning or algorithm development related to dynamic systems. + Experience coding in Python, MATLAB, or a similar programming environment. + Experience engaging, collaborating , and influencing stakeholders. Preferred qualifications: + Master’s or PhD degree in engineering, physical science, a related field, or equivalent practical experience. + 5 years of experience analyzing and modeling dynamic systems, including digital signal processing, time-series analysis, control systems, or Monte Carlo simulations. + 5 years of experience with machine learning or algorithm development related to dynamic systems. + Experience with software tools for machine learning and dynamic systems such as TensorFlow, MATLAB, Simulink, R, and Python libraries. + Familiarity with electrical and mechanical systems commonly found in data center environments. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). As a Data Center Systems Engineer within Google's Data Center Technology Systems team, you will analyze power utilization and other dynamics of data center systems, evaluate technology integration options, and develop new strategies to optimize data center efficiency and performance. The US base salary range for this full-time position is $144,000-$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 (https://careers.google.com/benefits/) . + Develop new methods and algorithms to optimize data center efficiency and performance. + Conduct empirical statistical analysis and modeling of physical variables in data center systems. + Design, implement, and validate control systems supporting service-level objectives. + Analyze approaches to manage dynamics of data center electrical and mechanical systems. + Collaborate across engineering teams to implement new algorithms, strategies, and processes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.