Mechanical Manufacturing Engineer

Minimum qualifications:

• Bachelor's degree in Mechanical or Manufacturing Engineer or equivalent practical experience.
• 5 years of experience assembling electro-mechanical products such as compute, network, or storage racks.
• Experience with one or more of the following fabrication processes: NCT sheet metal, metal stamping, injection molding, die casting, CNC, welding, press brake forming, or hardware insertion and manufacturing statistical processes.
• Experience with mechanical design of electro-mechanical assemblies and fixtures, including 3D CAD tools (Creo, SolidWorks), 2D drawings with Geometric Dimensioning and Tolerancing (GD&T)/Constraint-Tolerance-Feature (CTF)/ analysis and material selection, BOM creation using Product Data Management systems (Agile, Windchill), and DFMEA/PFMEA.

Preferred qualifications:

• Master's degree in Engineering or equivalent practical experience.
• 5 years of experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.
• Ability to plan and execute moderately complex projects with cross-functional teams and ensure technical excellence with global partners.
• Excellent technical program management, written and verbal communication and people management skills.

As a Mechanical Manufacturing Engineer (MME) in the Advanced and Operations Engineering (AOE) Organization, you will play a key role in the design, development, and manufacturing of Google’s data center server and rack products. You will have the opportunity to work on impactful projects and make significant contributions to Google and our Contract Manufacturer's (CM's) hardware manufacturing processes. You will build and deploy technology worldwide to support the needs of compute, storage, networking, and machine learning hardware.

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 are proud to be our engineers' engineers and love taking things apart so we can rebuild them. We are always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible.

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 channel 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 $115,000-$166,000 + 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.

• Review designs using Design for Manufacturing and Assembly (DFM/DFA) fundamentals to develop manufacturable and scalable sheet metal (soft and hard tooled) and complex electro-mechanical rack assembly products from concept to mass production with guidance from executive engineers.
• Collaborate with cross-functional teams including Product Design Engineering, Quality, Program Managers, Safety, Global Commodity Management, Sustaining Engineering, and Data Center Technicians to help implement cost-effective designs and manufacturing processes optimized for scalability.
• Participate in supplier technical evaluations, product qualification planning, and Root Cause Corrective Action (RCCA) for mechanical parts, assemblies, and L11 rack integration at CM partners based on volume, ramp timeline, and product requirements.
• Work with the Product Data Management team to create, review, and approve Bill of Materials (BoM), Approved Manufacturer Lists (AML), and Engineering Change Orders (ECO) with guidance from senior engineers.