Staff Manufacturing Engineer, Modularized Data Center Assembly

Google • Atlanta, GA

12h

About The Position

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google is revolutionizing the construction of hyperscale data centers, moving from traditional, multi-year, custom-built monoliths to a more agile approach of manufactured, modular, and just-in-time deployments. The Data Center Technology Solutions (DCTS) team is at the forefront of this transformation, driving innovation and efficiency across the design, engineering, manufacturing, and execution of these next-generation data centers. A core component of DCTS, the manufacturing function is tasked with developing the designs, robotics, processes, and systems necessary to facilitate this shift from conventional construction to a manufactured and just-in-time deployment model. This team collaborates extensively across Google Data Centers (GDC) and the broader Artificial Intelligence and Informatics (AI&I) organization. Their primary responsibility is to oversee the design and delivery of internally assembled and tested modular data centers, which will provide the essential capacity for all of Google's future needs. 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.

Requirements

• Bachelor's degree in Engineering or a related technical field or equivalent practical experience.
• 10 years of experience in Manufacturing engineering/Industrial engineering and working on assembly processes.

Nice To Haves

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
• 5 years of experience in manufacturing engineering leading low or high volume assemblies or equivalent experience.
• Experience in working in automotive, battery, or other electromechanical assembly lines.
• Experience in electrical, mechanical, or industrial engineering.
• Experience in infrastructure projects, especially data center facility and product designs.

Responsibilities

• Be responsible and own manufacturing engineering of assembly manufacturing of modular data center equipments.
• Work cross-functionally across platforms, hardware operations, chip diagnostics and data center system design engineers to develop and define manufacturing capacity calculations, as well as central operations and logistics to formulate a comprehensive material flow, delivery, and associated systems plan.
• Develop and validate comprehensive test plans and tooling fixtures for manufacturing processes, including electromechanical, networking, and chip-level components.
• Support process failure mode and effects analysis (PFMEA).
• Partner with cross-functional teams to conduct root cause analysis and implement corrective actions for incoming quality issues.
• Own and drive manufacturing process flows for all manufacturing assembly needs electrical, mechanical and networking assemblies and cross-functionally integration.
• Take ownership of design for manufacturing principles and test plans throughout the upstream supply chain.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level