Digital Twin Factory Simulation Lead

FTI

Menasha (WI)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Faith Technologies, Inc. seeks a seasoned Virtual Factory Simulation lead to drive simulation projects from concept to handoff, supporting facility design, line moves, and capacity expansions across fab, weld, automation, and assembly.

You will manage charters, timelines, budgets, risks, and stakeholder alignment with Operations Engineering and Manufacturing teams. The role emphasizes building digital factory models, validating assumptions, and delivering data-driven recommendations for layout

Qualifications

  • Bachelor’s degree required in a engineering/ops field.
  • 8+ years of manufacturing/engineering/simulation experience.
  • Experience with factory/facility simulation and layout tools.

Responsibilities

  • Lead virtual factory and simulation projects for new facilities and capacity expansions.
  • Develop and maintain project charters, timelines, budgets, and risk registers.
  • Coordinate requirements with Operations Engineering, Manufacturing, and Automation teams.
  • Create digital factory models representing layouts, routing, staffing, and material flow.
  • Use simulation to evaluate layouts, staffing, equipment configurations, and process flows.

Skills

Simulation
Project leadership
Requirements gathering
Digital twin
Cross-functional collaboration

Education

Bachelor’s degree in Mechanical/Industrial/Manufacturing/Operations/Architectural Engineering or related field

Tools

3DEXPERIENCE/DELMIA
FlexSim
Plant Simulation
Simio
Autodesk

Job description

Faith Technologies, Inc. seeks a seasoned Virtual Factory Simulation lead to drive simulation projects from concept to handoff, supporting facility design, line moves, and capacity expansions across fab, weld, automation, and assembly.

You will manage charters, timelines, budgets, risks, and stakeholder alignment with Operations Engineering and Manufacturing teams. The role emphasizes building digital factory models, validating assumptions, and delivering data-driven recommendations for layout

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