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).
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.

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 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.