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Discrete Event Simulation Specialist Manufacturing & Robotics Systems

Discrete Event Simulation Specialist Manufacturing & Robotics Systems

General MotorsWarren, MI, US
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Discrete Event Simulation (Des) Specialist

Hybrid The successful candidate is expected to report to the designated location a minimum of 3 days per week or at other frequency dictated by business needs. The primary work location will be Warren, MI.

The Role

As a Discrete Event Simulation (DES) Specialist, you will play a critical role in optimizing manufacturing and warehouse operations through advanced simulation modeling. Using industry-standard DES software, you'll build dynamic digital models to analyze system performance, identify bottlenecks, and support strategic investment decisions. Your work will span automated, semi-automated, and manual processesincluding roboticsand directly influence transformation initiatives and operational planning.

What You'll Do

  • Build and validate discrete event simulation models using tools such as FlexSim, Emulate3D, or Simul8 to represent complex manufacturing and warehouse systems.
  • Conduct robotic reach and cycle time studies to optimize motion paths and reduce idle time.
  • Perform throughput and capacity analysis to identify flow constraints and improve system performance.
  • Develop simulations for virtual commissioning and maintain digital twins for real-time operational reference.
  • Create adaptive, data-driven simulation models that reflect current system status and forecast future performance.
  • Develop custom scripts and control logic to enhance simulation fidelity and automation.
  • Analyze production metrics (e.g., cycle time, throughput, utilization, first pass yield) and translate insights into actionable recommendations.
  • Collaborate with design teams to validate tooling, layout, and robot selection using simulation outputs.
  • Generate robot paths and Off-Line Programs (OLPs) to support engineering and deployment teams.
  • Produce high-quality simulation visuals and animations for presentations and stakeholder engagement.
  • Support facility-level simulation deployment and provide training to internal users.
  • Present findings and recommendations to technical and non-technical audiences, ensuring clarity and impact.

Your Skills & Abilities (Required Qualifications)

  • 2+ years of experience in operations or manufacturing environments, with direct application of DES tools.
  • Strong foundation in mathematics, statistics, and stochastic modeling.
  • Working knowledge of FlexSim, Emulate3D, Simul8, or similar simulation platforms.
  • Practical experience modeling automated, semi-automated, and manual systems, including robotic cells and material handling equipment.
  • Ability to develop and implement simulation models that accurately represent complex systems and workflows.
  • Bachelor's degree in Industrial Engineering, Operations Research, Computer Science, Data Science, or a related quantitative field or equivalent experience.

    • What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience integrating simulation models with real-time data, digital twins, or IoT platforms.
  • Familiarity with robotic simulation environments (e.g., Process Simulate, RoboDK) and offline programming tools.
  • Background in lean manufacturing, Six Sigma, or continuous improvement methodologies.
  • Experience supporting automation deployment in unionized manufacturing environments.
  • Knowledge of simulation-based optimization, including constraint modeling and scenario analysis.
  • Experience creating realistic 3D animations and simulation videos for technical presentations.
  • Skilled in Python, C++, or other object-oriented languages for simulation scripting and data analysis.

    • GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

    This role may be eligible for relocation benefits.

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    Event Specialist • Warren, MI, US