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Senior Industrial Engineer–AI Server RMA (Field Repair) Operation

Foxconn Industrial Internet - FII
Houston, TX Posted Oct 28, 2026
Full-time

About this role

Senior Industrial Engineer – AI Server RMA (Field Repair) Operation Position Summary This position is responsible for optimizing the end-to-end Return Material Authorization (RMA) and field-repair operation, including product receiving, triage, diagnostics, disassembly, component repair/replacement, liquid-cooling service, system integration, testing, quality verification, packaging, and return-to-customer flow. The Senior Industrial Engineer will use data-driven methods to improve throughput, turnaround time (TAT), labor productivity, capacity, quality, ergonomics, and operational cost while ensuring processes are scalable, safe, traceable, and repeatable.

Key Responsibilities

  • RMA & Repair Operations

  • Design, optimize, and maintain end-to-end RMA workflows from receiving and triage through diagnosis, repair, testing, final inspection, and shipment.

  • Establish standard repair routes for common server and liquid-cooling failure modes.

  • Identify bottlenecks, queue time, rework loops, excessive handling, and non-value-added activities.

  • Develop processes capable of handling variable RMA demand, product configurations, and repair complexity.

  • Support field-repair requirements and translate field service issues into improved factory repair processes.

  • Industrial Engineering & Capacity

  • Perform time studies, work measurement, line balancing, capacity modeling, staffing analysis, and workstation optimization.

  • Establish engineered labor standards and manpower requirements by repair type/product family.

  • Model capacity for receiving, diagnostics, repair, coolant service, testing, burn-in, packaging, and shipment.

  • Develop scenarios for demand ramps and changing RMA volumes.

  • Analyze WIP and queue levels and recommend appropriate capacity buffers.

  • Drive productivity improvements while maintaining product quality and technician safety.

  • Optimize service processes involving cold plates, manifolds, hoses, quick-disconnects, pumps/CDU interfaces, coolant handling, leak inspection, flushing/filling, and pressure/leak testing, where applicable.

  • Work with EHS and engineering teams to ensure safe handling of heavy, high-value server assemblies and cooling systems.

  • Incorporate appropriate ergonomics and material-handling solutions for racks, trays, servers, and repair fixtures.

  • Lean Manufacturing & Continuous Improvement

  • Lead Lean, Kaizen, 5S, Value Stream Mapping, DMAIC, and structured problem-solving activities.

  • Apply Pareto analysis, 5-Why, Ishikawa/Fishbone, FMEA, SPC, and root-cause analysis to operational problems.

  • Reduce waste associated with waiting, movement, transportation, inventory, overprocessing, defects, and rework.

  • Develop standardized work and visual management for critical RMA processes.

  • Facilitate cross-functional improvement workshops and drive actions through closure.

  • Factory Layout & Workstation Design

  • Develop and maintain layouts for repair cells, diagnostic stations, test areas, WIP locations, coolant-service areas, material supermarkets, and finished-goods staging.

  • Define space, equipment, tooling, utilities, ESD, material-flow, and ergonomic requirements for new or expanding operations.

  • Optimize factory flow to minimize travel distance and unnecessary product handling.

  • Support introduction and qualification of new workstations, fixtures, tooling, and automation.

  • Data, KPI & Digital Operations

  • Develop dashboards and operating metrics for:

  • RMA turnaround time

  • Units repaired per labor hour

  • Repair/retest rate

  • WIP and aging

  • Queue time

  • Capacity utilization

  • Labor efficiency

  • On-time completion

  • Use production data to identify constraints and prioritize improvements based on operational and financial impact.

  • Partner with IT/MES teams to improve repair routing, traceability, data collection, defect coding, and electronic work instructions.

Qualifications

  • Required

  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Systems Engineering, or a related technical field.

  • Typically, 5+ years of relevant industrial/manufacturing engineering experience, including ownership of complex production or repair processes.

  • Demonstrated experience with:

  • Time studies and labor standards

  • Capacity and manpower modeling

  • Line/cell balancing

  • Factory/workstation layout

  • Standardized work

  • Lean manufacturing

  • Root-cause analysis

  • Continuous improvement

  • Strong data-analysis capability using Microsoft Excel and similar analytical/reporting tools.

  • Experience working cross-functionally with Operations, Manufacturing Engineering, Quality, Test, Materials, Planning, IT/MES, and EHS.

  • Ability to operate effectively in a fast-paced environment with changing volume, priorities, and technical requirements.

  • Strong written, verbal, analytical, and technical presentation skills.

  • Preferred

  • Experience with server, rack, storage, networking, electronics, semiconductor, or other high-tech manufacturing/repair environments.

  • Experience supporting RMA, depot repair, field service, failure analysis, or reverse logistics.

  • Knowledge of AI/HPC server architecture and high-density compute environments.

  • Experience with MES, ERP, WMS, Power BI, SQL, Minitab, AutoCAD/Factory Design, or simulation tools.

  • Lean Six Sigma Green Belt or Black Belt certification is desirable.

  • Familiarity with ISO 9001, ESD controls, PFMEA, Control Plans, and high-tech manufacturing quality systems is preferred.

  • Key Competencies**

  • Industrial engineering and operations optimization

  • Capacity and labor planning

  • Data-driven problem solving

  • Lean manufacturing and continuous improvement

  • Factory and material-flow optimization

  • High-mix / variable-demand operations

  • Cross-functional leadership

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