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Data Center Design Lead

GoogleSunnyvale, CA, USA; Austin, TX, USA; +9 more; +8 more

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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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