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Industrial Engineer – Autonomous Material Handling & Simulation

United States, Warren · Job Posted March 03, 2026
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Job Description

GM is scaling next-generation autonomous material-handling technologies across our manufacturing footprint. As an Industrial Engineer / Lean Material Strategies Engineer – AMR/AFT Automation & Simulation, you will design, validate, and deploy automated material-delivery solutions using Autonomous Mobile Robots (AMR) and Automated Fork Trucks (AFT). You will bridge material flow engineering, layout design, simulation, automation requirements, and cross-functional integration to deliver safe, reliable, and cost-effective dock-to-dock automation. This role is highly collaborative, working across IE/LMS, Controls, IT, ARC, GSC, and plant operations to ensure GM’s automated material-handling systems are production-ready, scalable, and aligned with enterprise standards.

Job Responsibility

  • Develop future-state AMR/AFT material-flow concepts (dock to DLOC, DLOC to ULOC/POU, empties return) aligned to LMS standards
  • Ensure aisle geometry, storage strategies, and containerization support AMR/AFT operation
  • Lead or coordinate full-facility simulations (manual + automated traffic) to validate takt capability, congestion risk, and fleet sizing
  • Translate simulation results into fleet quantities, charger counts, route designs, and business-case inputs
  • Define and specify AMR/AFT auxiliary equipment (P&D stands, roller racks, risers, turntables, reflectors, etc.)
  • Support sourcing and installation of operator-interface devices and integration hardware (e.g., sensors, traffic lights, conveyor/hoist interfaces)
  • Align requirements across IE/LMS, Controls, IT, and suppliers to ensure complete, accurate IO/requirements documentation
  • Ensure AMR/AFT solutions meet GM standards for safety, controls, cybersecurity, WMS/VaaS connectivity, and integration with ASRS and related automation systems
  • Support development of SOR/SOW content for AMR/AFT deployments
  • Own or support readiness sheets for IE/LMS deliverables (GMOS updates, racks, kitting, accessories, layout changes) through SOP and stabilization
  • Track and report AMR/AFT fleet readiness, integration status, and KPI performance for assigned sites
  • Partner with plant IE, LMS, ME, GSC, Safety, Facilities, and Leadership to align on automation scope, constraints, trade-offs, and performance targets
  • Contribute to training, documentation, and knowledge transfer for plant teams and first responders
  • Feed lessons learned into LMS standards, templates, and training for future deployments
  • Identify and help close systemic constraints (floor conditions, container strategies, layout gaps, simulation limitations) that limit AMR/AFT scalability or performance

Requirements

  • Experience in automotive manufacturing, LMS, or industrial engineering, preferably in high-volume assembly or machining environments
  • Hands-on experience with material-flow modeling, layout development, and/or simulation (GMOS, plant/route simulations, or equivalent tools)
  • Working knowledge of AMR/AFT/AGV systems (routes, charging, P&D strategies, safety envelopes, constraints) or similar automation technologies
  • Strong analytical and problem-solving skills with the ability to translate simulation and layout analyses into clear design requirements and business impacts
  • Proven ability to work cross-functionally with Controls, IT, ME, Safety, Facilities, and plant operations
  • Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, Supply Chain, or related field

Nice to have

  • Experience working with LMS RASICs, program trackers, or structured execution frameworks
  • Direct involvement in deploying AMR/AFT, ASRS, or other automated material-handling solutions
  • Familiarity with GM material-handling tools (GMOS, LMS Scorecards, PFEP, Pin-Map analysis, LMS Walls)
  • Exposure to automation KPI frameworks (uptime, throughput, trip efficiency, fleet readiness)
  • Knowledge of controls/IT concepts related to automated delivery (PLC/HMI basics, networked chargers, device interlocks, WMS/VaaS)

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