Data Center Mechanical Engineer - Sunnyvale, Austin or Kirkland
📍 Job Overview
- Job Title: Data Center Mechanical Engineer
- Company: Google
- Location: Sunnyvale, California, United States
- Job Type: On-site
- Category: Mechanical Engineering
- Date Posted: June 25, 2025
- Experience Level: 5-10 years
🚀 Role Summary
- Drive manufacturing process improvements for mechanical components in Google's data centers
- Collaborate cross-functionally to integrate mechanical and automation solutions
- Analyze manufacturing performance data to identify trends and lead process improvement projects
- Evaluate new manufacturing technologies and equipment investments for business case presentations
📝 Enhancement Note: This role involves a blend of technical acumen, data analysis, and understanding business implications to ensure the production of critical infrastructure for Google's data centers.
💻 Primary Responsibilities
- Process Development & Improvement: Develop, implement, and improve manufacturing processes for mechanical components, ensuring efficiency, cost-effectiveness, and quality.
- Data Analysis & Process Improvement: Conduct data analysis on manufacturing performance to identify trends, root causes of defects, and lead process improvement projects.
- Cross-Functional Collaboration: Collaborate with cross-functional teams (e.g., electrical engineers, software developers) to ensure the integration of mechanical and automation solutions.
- Business Case Evaluation: Perform business case evaluations for new manufacturing technologies and equipment investments, presenting recommendations to senior-level executives.
📝 Enhancement Note: This role requires a strong understanding of mechanical design, manufacturing operations, and process controls to drive product quality and advocate for continuous improvement initiatives.
🎓 Skills & Qualifications
Education: Bachelor's degree in Mechanical Engineering, a related field, or equivalent practical experience. A Master's degree in Mechanical Engineering or a related field is preferred.
Experience: 5+ years of experience in mechanical process engineering and manufacturing automation. Experience in the data center industry or manufacturing environments is preferred.
Required Skills:
- Mechanical process engineering and manufacturing automation
- CAD software (e.g., AutoCAD, SolidWorks)
- Finite element analysis (FEA) tools (e.g., ANSYS, COMSOL)
- Programmable Logic Controller (PLC) programming (e.g., Allen-Bradley, Siemens)
- Data analysis and statistical analysis tools (e.g., Minitab, JMP)
- Lean manufacturing principles and product quality management systems
Preferred Skills:
- Experience in the data center industry or manufacturing environments
- Knowledge of robotics, control systems, and industrial automation
- Familiarity with Google's data center infrastructure and global fleet
📝 Enhancement Note: Candidates with experience in lean manufacturing principles, product quality management systems, and statistical analysis tools will be particularly competitive for this role.
📊 Web Portfolio & Project Requirements
Not applicable to this role
💵 Compensation & Benefits
Salary Range: The US base salary range for this full-time position is $144,000-$211,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Benefits:
- Bonus
- Equity
- Benefits (e.g., health, dental, vision, and retirement plans)
- Employee stock purchase plan
- Professional development opportunities
Working Hours: 40 hours per week, with flexibility for project deadlines and maintenance windows.
📝 Enhancement Note: Salary ranges are determined by role, level, and location. Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology, with a focus on data center infrastructure and global fleet management.
Company Size: Large (100,000+ employees), with a decentralized organizational structure and numerous teams dedicated to data center engineering and maintenance.
Founded: 1998, with a strong focus on innovation, continuous improvement, and sustainability.
Team Structure:
- Cross-functional teams, including mechanical, electrical, and software engineers, as well as facilities technicians
- Decentralized decision-making and a focus on local expertise and problem-solving
- Collaboration and knowledge-sharing across global data center teams
Development Methodology:
- Lean manufacturing principles and continuous improvement processes
- Data-driven decision-making and a focus on performance metrics and optimization
- Regular communication and updates on project progress and team performance
Company Website: https://www.google.com/
📝 Enhancement Note: Google's data center engineering team takes the physical design of data centers into the future, with a focus on cutting-edge strategies, research, and development.
📈 Career & Growth Analysis
Web Technology Career Level: This role is a senior-level position within the data center engineering team, focusing on mechanical design, manufacturing operations, and process controls.
Reporting Structure: This role reports directly to the Data Center Engineering Manager and collaborates with cross-functional teams, including electrical engineers, software developers, and facilities technicians.
Technical Impact: This role has a significant impact on the production of critical infrastructure for Google's data centers, ensuring the manufacturing of components vital to the global data center fleet.
Growth Opportunities:
- Technical leadership and architecture decision-making opportunities within the data center engineering team
- Potential to work on high-impact projects and drive innovation in data center infrastructure and management
- Opportunities to develop expertise in emerging technologies and trends in the data center industry
📝 Enhancement Note: This role offers opportunities for technical growth and leadership within the data center engineering team, with a focus on driving innovation and continuous improvement in data center infrastructure and management.
🌐 Work Environment
Office Type: On-site, with a focus on collaboration, knowledge-sharing, and cross-functional teamwork.
Office Location(s): Sunnyvale, California, United States
Workspace Context:
- Collaborative workspaces with dedicated areas for design, prototyping, and testing
- Access to cutting-edge tools and technologies for mechanical design, manufacturing, and automation
- Opportunities for cross-functional collaboration with electrical engineers, software developers, and facilities technicians
Work Schedule: Full-time, with flexibility for project deadlines, maintenance windows, and continuous improvement initiatives.
📝 Enhancement Note: This role requires on-site work in Sunnyvale, California, with opportunities for collaboration, knowledge-sharing, and cross-functional teamwork within Google's data center engineering team.
📄 Application & Technical Interview Process
Interview Process:
- Phone or video screen to assess communication skills and cultural fit
- Technical interview to evaluate mechanical design, manufacturing operations, and process control skills
- On-site interview with cross-functional teams to assess collaboration, problem-solving, and leadership skills
- Final interview with senior-level executives to discuss business implications and strategic thinking
Portfolio Review Tips: Not applicable to this role
Technical Challenge Preparation:
- Brush up on mechanical design, manufacturing operations, and process control skills
- Familiarize yourself with Google's data center infrastructure and global fleet
- Prepare for data analysis and statistical analysis questions, focusing on trends, root causes of defects, and process improvement projects
ATS Keywords: Mechanical Engineering, Manufacturing Automation, CAD Software, Finite Element Analysis, PLC Programming, Data Analysis, Process Improvement, Lean Manufacturing, Robotics, Control Systems, Statistical Analysis, Data Center Infrastructure, Global Fleet Management
📝 Enhancement Note: This role requires a strong understanding of mechanical design, manufacturing operations, and process controls, as well as data analysis and statistical analysis skills to drive product quality and advocate for continuous improvement initiatives.
🛠 Technology Stack & Web Infrastructure
Not applicable to this role
👥 Team Culture & Values
Web Development Values: Not applicable to this role
Collaboration Style:
- Cross-functional collaboration with mechanical, electrical, and software engineers, as well as facilities technicians
- Knowledge-sharing and regular communication across global data center teams
- Decentralized decision-making and a focus on local expertise and problem-solving
📝 Enhancement Note: Google's data center engineering team fosters a collaborative and innovative culture, with a focus on continuous improvement and sustainability in data center infrastructure and management.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Developing and implementing manufacturing processes for mechanical components, ensuring efficiency, cost-effectiveness, and quality
- Conducting data analysis on manufacturing performance to identify trends, root causes of defects, and lead process improvement projects
- Collaborating with cross-functional teams to ensure the integration of mechanical and automation solutions
- Performing business case evaluations for new manufacturing technologies and equipment investments, presenting recommendations to senior-level executives
Learning & Development Opportunities:
- Technical leadership and architecture decision-making opportunities within the data center engineering team
- Potential to work on high-impact projects and drive innovation in data center infrastructure and management
- Opportunities to develop expertise in emerging technologies and trends in the data center industry
📝 Enhancement Note: This role offers opportunities for technical growth and leadership within the data center engineering team, with a focus on driving innovation and continuous improvement in data center infrastructure and management.
💡 Interview Preparation
Technical Questions:
- Mechanical design and manufacturing operations questions, focusing on process development, improvement, and control
- Data analysis and statistical analysis questions, focusing on trends, root causes of defects, and process improvement projects
- Business case evaluation questions, focusing on new manufacturing technologies and equipment investments
Company & Culture Questions:
- Questions about Google's data center infrastructure and global fleet management
- Questions about cross-functional collaboration and knowledge-sharing within the data center engineering team
- Questions about innovation, continuous improvement, and sustainability in data center infrastructure and management
Portfolio Presentation Strategy: Not applicable to this role
📝 Enhancement Note: This role requires a strong understanding of mechanical design, manufacturing operations, and process controls, as well as data analysis and statistical analysis skills to drive product quality and advocate for continuous improvement initiatives.
📌 Application Steps
To apply for this Data Center Mechanical Engineer position:
- Submit your application through the application link provided
- Tailor your resume to highlight mechanical design, manufacturing operations, and process control skills, as well as data analysis and statistical analysis experience
- Prepare for technical interviews by brushing up on mechanical design, manufacturing operations, and process control skills, as well as data analysis and statistical analysis questions
- Familiarize yourself with Google's data center infrastructure and global fleet management
- Research Google's data center engineering team and company culture to demonstrate your understanding and enthusiasm for the role during the interview process
⚠️ Important Notice: This enhanced job description includes AI-generated insights and mechanical engineering industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have a Bachelor's degree in Mechanical Engineering and at least 5 years of experience in mechanical process engineering and automation. Preferred qualifications include a Master's degree and experience in the data center industry.