Senior Industrial Engineer- Server Manufacturing

• Own factory capacity and manpower planning based on customer demand product mix shift model cycle time yield and production efficiency.
• Develop and maintain headcount models for production and related operations including direct labor fixed-position labor and supporting manpower.
• Lead time study standard time takt time line balancing and labor utilization analysis for server assembly test pack-out and related production processes.
• Review actual production performance versus planned capacity and manpower identify gaps and drive improvement actions with Production and Engineering teams.
• Identify the real production bottleneck across labor equipment test capacity material flow layout and process constraints and provide improvement proposals.
• Plan and optimize factory layout production lines workstations material flow warehouse interface WIP locations and floor-space utilization.
• Support NPI and MP ramp readiness including production capacity labor requirement workstation quantity equipment demand floor space and line configuration.
• Develop capacity scenarios to answer management questions such as:
  • Required HC for different production volumes
  • Capacity impact from product mix or cycle-time changes
  • Additional equipment or floor-space requirements
  • Bottleneck impact on production output
  • Manpower reduction opportunities and associated risks
• Support new line and factory expansion projects from initial planning through production launch.
• Work closely with Manufacturing Process Engineering Test Engineering Quality Warehouse Supply Chain Facilities and Program teams to close capacity and productivity gaps.
• Drive practical productivity improvements focused on UPH labor efficiency cycle time line balance WIP material movement and cost per unit.
• Establish and maintain key IE data including standard time routing capacity assumptions manpower standards layout and productivity baselines.
• Prepare clear and concise capacity manpower and productivity reports for Plant Manager Operations Director and senior management.
• Provide recommendations not just data. Clearly explain the issue operational impact available options risks and recommended action.
• Coach and guide junior Industrial Engineers and help establish consistent IE working methods for the factory.

• Bachelors degree in Industrial Engineering Manufacturing Engineering or related engineering field.
• 10 years of direct Industrial Engineering experience in Server EMS/ODM manufacturing.
• Strong hands-on experience with:
  • Capacity planning
  • Headcount / manpower modeling
  • Time study and standard time
  • Line balancing
  • Factory and production-line layout
  • Productivity improvement
  • NPI and production ramp
• Strong understanding of server manufacturing operations including assembly test repair/rework pack-out warehouse/material flow and supporting operations.
• Able to independently analyze production data and convert findings into practical actions for factory management.
• Comfortable working directly with Plant Manager Operations Director and cross-functional leadership in a fast-paced factory environment.
• Strong Excel and data-analysis skills.
• Ability to build practical capacity and manpower models is required.
• Strong communication and presentation skills with the ability to explain complex operational issues in a simple and decision-oriented manner.

• Factory start-up / greenfield manufacturing experience.
• Experience supporting major factory expansion or rapid production scale-up.
• Experience in AI server GPU server rack server or high-complexity server manufacturing.
• Experience establishing IE standards capacity models manpower models and layout plans for a new manufacturing site.
• Familiarity with AutoCAD and manufacturing data visualization tools such as Power BI.
• Experience working in a Tier-1 EMS/ODM environment supporting major server or CSP customers.

• Can we meet the required output with the current lines and headcount
• Where is the real bottleneck
• Why does Production need this many people
• What happens if demand increases by 20%
• Do we need more people more equipment or better line balance
• How much floor space will the next ramp require
• Where can we reduce labor without creating production or delivery risk

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