AMR Fleet Simulation Lead & Optimization Supervisor

KUKA

Sterling Heights (MI)

On-site

USD 110,000 - 160,000

Full time

3 days ago
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Job summary

KUKA seeks a Logistics Automation Process Simulation Supervisor to lead the engineering team building digital twins of AMR fleets in automated fulfillment centers. You will model fleet dynamics, charging strategies, navigation, and traffic management to validate throughput before physical deployment.

Join a cross‑functional team partnering with AMR vendors and software teams to translate simulation insights into actionable CapEx decisions and scalable operations.

Qualifications

  • Bachelor’s degree in Industrial Engineering, Robotics Engineering, Supply Chain Engineering, or related field.
  • 4+ years in logistics simulation engineering, with emphasis on mobile robotics (AMRs/AGVs).
  • Proficiency in multi-agent and kinematics simulation tools (ANYLOGIC, Tecnomatix, FlexSim).
  • Strong AMR fleet management understanding: localization, task allocation, spatial coordination.

Responsibilities

  • Lead AMR simulation projects for large-scale fleets and grid-based storage systems.
  • Optimize fleet dynamics, dispatching rules, pathfinding, and station configurations using simulation data.
  • Identify and mitigate congestion, deadlocks, and charging bottlenecks in virtual models.
  • Design and run stress tests for scaling fleets and failure modes.
  • Collaborate with AMR vendors, WMS/WCS teams, and operations to align virtual and real constraints.
  • Supervise simulation engineers and data analysts, manage timelines and tasks.
  • Translate simulation results into actionable insights for CapEx and robot procurement.

Skills

Python
C++
Java
AnyLogic
FlexSim

Education

Bachelors in Industrial Engineering / Robotics / Supply Chain Engineering

Tools

AnyLogic
Siemens Tecnomatix Plant Simulation
FlexSim
Visual Components

Job description

KUKA seeks a Logistics Automation Process Simulation Supervisor to lead the engineering team building digital twins of AMR fleets in automated fulfillment centers. You will model fleet dynamics, charging strategies, navigation, and traffic management to validate throughput before physical deployment.

Join a cross‑functional team partnering with AMR vendors and software teams to translate simulation insights into actionable CapEx decisions and scalable operations.

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