Senior Software Simulation Engineer

Premier Staffing SolutionLansing, MI

About The Position

We are seeking a Senior Software Simulation Engineer with a strong background in automotive manufacturing engineering and expertise in discrete event simulation. The role involves developing and utilizing simulation models to analyze and optimize manufacturing processes, focusing on throughput, capacity, and bottleneck identification. The ideal candidate will be proficient in Autodesk FlexSim and possess excellent communication skills to convey complex findings to various stakeholders.

Requirements

  • 3+ years of experience in automotive manufacturing engineering (e.g., body, paint, general assembly, battery, drive unit, or material flow).
  • Direct ownership of discrete event simulation projects.
  • Expert-level proficiency with Autodesk FlexSim.
  • Demonstrated experience modeling multi-line assembly systems with buffers and rework loops.
  • Demonstrated experience modeling stochastic systems (failures, repairs, variability in process times).
  • Demonstrated experience in throughput, capacity, and bottleneck analysis.
  • Strong understanding of manufacturing KPIs (JPH, JPS, OEE/TEE, MTBF/MTTR, WIP, buffer sizing).
  • Ability to clean, structure, and validate input data.
  • Ability to define scenarios.
  • Ability to clearly communicate model assumptions and limitations.
  • Strong communication skills, with the ability to translate complex simulation outputs into concise, actionable recommendations for non-technical stakeholders.

Nice To Haves

  • Familiarity with FlexScript, C++, or Python for custom logic and simulation tooling.
  • Experience supporting greenfield factory design or major capacity expansions, including launch and ramp phases.

Responsibilities

  • Directly own discrete event simulation projects within automotive manufacturing.
  • Model multi-line assembly systems with buffers and rework loops.
  • Model stochastic systems including failures, repairs, and process time variability.
  • Perform throughput, capacity, and bottleneck analysis.
  • Clean, structure, and validate input data for simulation models.
  • Define simulation scenarios.
  • Clearly communicate model assumptions and limitations.
  • Translate complex simulation outputs into concise, actionable recommendations for non-technical stakeholders.
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