Datacenter Engineer, Systems Controls Engineering

Google • Sunnyvale, CA

4h • $122,000 - $174,000

About The Position

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 $122,000-$174,000 +
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/].

Requirements

• Bachelor's in Engineering, Science, a related field, or equivalent practical experience.
• 3 years of experience designing and implementing controls systems and controls modeling.
• Experience with machine learning and construction of algorithms.
• Experience with programming in C, Python, MATLAB, or Shell.

Nice To Haves

• Master's degree or 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.
• Ability to work effectively with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural) with execellent communication skills.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level