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 --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 team behind Google's groundbreaking innovations, empowering the development of our 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 about benefits at Google.

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 engineers) to ensure integration of mechanical and automation solutions.

• Perform business case evaluations for new manufacturing technologies and equipment investments, presenting recommendations.

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).