Google
Staff Data Center Engineer, Mechanical Automation, Manufacturing
Google, Reno, Nevada, United States, 89550
Staff Data Center Engineer, Mechanical Automation, Manufacturing
Join to apply for the
Staff Data Center Engineer, Mechanical Automation, Manufacturing
role at
Google .
Locations
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 are 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.
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.
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.
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Staff Data Center Engineer, Mechanical Automation, Manufacturing
role at
Google .
Locations
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 are 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.
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.
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.
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