Manufacturing Engineer, Equipment Supply Chain

Google•Atlanta, GA

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. 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're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Requirements

Bachelor's degree in Industrial Engineering or Mechanical/Electrical Engineering or equivalent practical experience.
5 years of experience working in Manufacturing.

Nice To Haves

Certification in Six Sigma Black Belt.
5 years of experience working as a manufacturing engineer in an industrial environment, within the data center space or automotive production.
Experience with data center cooling.
Experience with lean manufacturing.
Ability to travel up to 30% of the time as needed.

Responsibilities

Lead design for excellence feasibility reviews and generate design for manufacturing (DFM) feasibility reports during concept readiness phase to resolve "red flag" features before design freeze.
Validate mass production readiness through run-at-rate validation reports and line balancing charts to align takt time with cycle time.
Execute vendor capability assessments and factory readiness gap analyses to ensure supply chain maturity. Enforce quality by reviewing process capability reports (Cpk > 1.33), control plans, and gage repeatability and reproducibility reports during the pilot phase.
Advocate risk management by leading process failure mode and effects analysis (with risk priority number (RPN) reduction targets) and conducting pareto analysis and root cause analysis (8D) for any manufacturing issues.
Optimize factory logistics by developing process flow diagrams and material presentation plans to audit and streamline how parts reach the production line.