Automation Expert # 26-26690

USTech Solutions•Detriot, MI

About The Position

US Tech Solutions is seeking an Automotive Material Handling Automation & Intralogistics subject matter expert for a two-month contract-to-hire engagement. The role supports evaluation of material handling automation, storage strategy, material flow, and warehouse/LOC capacity in an automotive manufacturing environment. The SME will develop practical recommendations about automation technologies, storage systems, replenishment strategies, and inventory placement while layouts, PFEP data, and operating assumptions are still evolving.

Requirements

  • At least 10 years of experience in automotive logistics, in-plant logistics, material handling equipment automation, ASRS design or evaluation, AMR/AGV deployment projects, or industrial engineering.
  • Experience leading or supporting the selection, evaluation, sizing, or deployment of material handling automation systems.
  • Experience comparing alternative automation approaches based on throughput, storage requirements, labor, utilization, and ROI.
  • Experience with material handling system selection and evaluation.
  • Experience with automotive supplier parks, sequencing centers, or 3PL operations.
  • Ability to work with incomplete or evolving planning inputs and develop defensible recommendations based on assumptions.

Nice To Haves

  • ASRS design or evaluation experience.
  • AMR/AGV deployment project experience.
  • Warehouse automation business-case development experience.
  • Experience in highly automated manufacturing or distribution environments.
  • Simulation, modeling, or Digital Twin support initiatives.

Responsibilities

  • Recommend appropriate material handling technologies, including AMRs, AGVs, Autonomous Fork Trucks (AFTs), ASRS, goods-to-person systems, and automated conveyance systems.
  • Define fleet sizing, storage-density assumptions, throughput assumptions, and operating constraints.
  • Develop alternative automation concepts and compare their operational tradeoffs.
  • Recommend physical equipment configurations suitable for simulation and Digital Twin scenario analysis.
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