Onsite
Full Time Posted 11 days ago
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Job Type

Full Time

Job Details

This role may also be located in our Playa Vista, CA campus.


Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Atlanta, GA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Mountain View, CA, USA. Minimum qualifications:
  • Bachelor's degree in Engineering, Science, a related field, or equivalent practical experience.
  • 5 years of experience in designing and implementing controls 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 with cross-functional 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).

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 $139,000-$207,000 + 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
  • Develop operations and maintenance procedures for systems/processes.
  • Conduct engineering analysis and research designs and methods of data center equipment and facilities.
  • Ensure designs and installations meet requirements (e.g., predicted cooling, structural, operational concerns, etc.).
  • Define data center system-level, product architecture, research and development.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Mission
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Data Center Design Lead
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