Control Systems Engineer, Machine Learning, Data CentersCompany: Google
Location: Kirkland, WA, USA
Job Level:Early
Minimum Qualifications:Bachelor's in Engineering, Science, a related field, or equivalent practical experience.1 year of experience designing and implementing control systems and controls modeling.Experience with Machine Learning (ML) and construction of algorithms.Experience with programming in C, Python, MATLAB, or Shell.Preferred Qualifications:Master's Degree or PhD in Engineering, Science, or a related technical 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.Excellent communication skills and ability to work effectively with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural).About the Job: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).
Responsibilities:Research and develop new algorithms and methods for optimizing data center efficiency and performance.Design, validate, and implement control 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 statistical analysis/modeling on relevant data for use in data center controls. Develop large-scale Machine Learning algorithms for pattern recognition and Bayesian and non-linear systems.Collaborate with the Engineering team to implement proposed strategies and algorithms in our technology system.Compensation:The US base salary range for this full-time position is $99,000-$145,000 + 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.
Equal Opportunity Employer:Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Recruitment Agencies:To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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