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Data Center Equipment Manufacturing

at Google

India Senior Posted 2026-04-21

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About this role

Lead DFx reviews and generate Design for Manufacturing (DFM) reports during the concept readiness phase to identify and resolve red-flag features before design freeze. Validate production readiness through Run-at-Rate Validation reports and line balancing charts to align Takt time with cycle time. Execute vendor assessments and factory readiness gap analyses. Enforce process quality by reviewing process capability reports (Process Capability Index (Cpk) > 1.33), control plans, and Measurement Systems Analysis reports during the pilot phase. Advocate risk management by leading PFMEAs with RPN reduction goals. Conduct Pareto and Eight Disciplines (8D) root cause analyses to resolve manufacturing issues. Optimize factory logistics via process flow diagrams and material plans to streamline production line supply. Validate test strategies and fixture designs, ensuring formal approval and sign-off. Oversee Engineering Change Order (ECO) implementations to re-validate fixtures as required. Minimum qualifications: Bachelor's degree in Industrial engineering, Mechanical, or Electrical Engineering, a related technical field, or equivalent practical experience. 8 years of experience working as a Manufacturing Engineer in an industrial environment, within the Data Center space or Automotive production. Preferred qualifications: Certification in Six Sigma Black Belt, Lean Manufacturing. Experience with supplier technical evaluations, qualifications, and managing supplier relationships, with engineering and design software for modeling, analysis, and documentation. Experience with industry standards, including design guidelines for data center infrastructure. Understanding of Data Center cooling, with knowledge of electromechanical, networking, and mechanical assembly processes, tooling and equipment. Ability to lead complex manufacturing projects and mentor junior engineers, and to conduct data analysis to identify trends, root causes of defects, and measure manufacturing performance. Ability to travel up to 30%, and to identify and resolve manufacturing and quality issues.

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