Minimum qualifications:

　　Master's degree in Engineering, Science, a related field, or equivalent practical experience.

　　5 years of experience designing and implementing controls systems and dynamic modeling.

　　5 years of experience with Machine Learning and construction of algorithms.

　　Experience with programming in C, Python, MATLAB, or Shell.

　　Preferred qualifications: PhD in Engineering, Science, or a related field.

　　Experience with modeling/statistical software such as TensorFlow, Simulink, R, or MATLAB Machine Learning Toolbox.

　　Experience with digital signal processing and time-series analysis.

　　Experience with optimization, Linear Programming, and Convex Optimization.

　　Experience with dynamic system analysis, feedback control systems (PID Control), and optimal control.

　　About the job

　　The Data Center Engineering team takes the physical design of our data centers into the future. In this role, you will take on complex topics, optimize for efficiencies, and always seek ways to improve. You will also generate ideas, communicate recommendations to executives and drive implementation alongside facilities technicians.

　　Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

　　The US base salary range for this full-time position is $114,000-$167,000 + 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 for new hire 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

　　Research and develop new algorithms and methods for optimizing data center efficiency and performance. Design, validate, and implement controls algorithms to manage electrical and mechanical stability. Analyze and recommend approaches to manage dynamics of the electromechanical systems and their interactions within a data center. Conduct empirical statistical analysis/modeling on relevant data for use in data center controls. Collaborate with the Engineering team to implement proposed strategies and algorithms in our technology system. Develop large-scale Machine Learning algorithms for pattern recognition and Bayesian and non-linear systems.