Staff Data Center Engineer, Mechanical Automation, Manufacturing
corporatefare_ Google place Sunnyvale, CA, USA; Austin, TX, USA; +3 more; +2 more
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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XNote: 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; Kirkland, WA, USA; Reno, NV, USA .
Minimum qualifications:
Bachelor's degree in Mechanical or Industrial Engineering, a related discipline, or equivalent practical experience.
10 years of experience in mission critical facility design and construction environments.
5 years of experience in mechanical process engineering and manufacturing automation.
5 years of experience designing and implementing automation solutions in an industrial environment.
5 years of experience with CAD software, Finite Element Analysis (FEA) tools, and Programmable Logic Controller (PLC) programming.
Experience in mechanical infrastructure.
Preferred qualifications:
Master's degree in Engineering, Business, a relevant field, or a professional engineering license.
Experience in estimation, mechanical design, operation, and commissioning of mission critical data center mechanical equipment.
Experience in lean manufacturing principles and product quality management systems.
Experience in the data center industry or manufacturing environments.
Knowledge of robotics, control systems, industrial automation, and statistical analysis tools (e.g., Minitab, JMP).
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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $171,000-$254,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Develop, implement, and improve manufacturing processes for mechanical components, ensuring efficiency, cost-effectiveness, and quality.
Conduct data analysis on manufacturing performance to identify trends, root causes of defects, and lead process improvement projects.
Collaborate with cross-functional teams (e.g., electrical engineers, software developers) to ensure integration of mechanical and automation solutions.
Perform business case evaluations for new manufacturing technologies and equipment investments, presenting recommendations.
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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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
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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.
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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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
