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Simulation Engineer

Job in Auburn, Lee County, Alabama, 36831, USA
Listing for: Stellantis
Full Time position
Listed on 2026-06-05
Job specializations:
  • Engineering
    Systems Engineer, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

The Simulation Engineer is responsible for building simulation models to predict throughput for new program launches, modifications and improvements to the existing programs. This position studies the plant layouts and gathers all the pertinent data required to build a model that will accurately identify bottleneck areas and guide the launch and plants teams to the right areas for throughput improvements. The Simulation Engineer will analyze system and provide cost effective improvement recommendations based on experimentation to achieve program targets.

The candidate must have a thorough understanding of vehicle manufacturing and operations processes. Additionally, the candidate must possess experience working with discrete event simulation, Auto Cad layouts, probability & statistics, data filtering and developing results visualization.

Basic Qualifications
  • Bachelor's degree in engineering (Mechanical, Manufacturing or Industrial)
  • Prior OEM automotive manufacturing experience
  • Minimum 1+ years of experience in build model using discrete event simulation
  • Intermediate knowledge of Siemens Technomatix Plant Simulation
  • Basic knowledge in object oriented computer programming (example languages: Python, R, C++, Java, Basic, Simtalk…etc.)
  • Proficient in handling large data sets, including filtering, identifying trends and graphical representation
  • Reading and understanding vehicle assembly technical drawings and conveyor system layouts
  • Knowledge of the inputs required to build an accurate simulation model
  • Able to meet tight project timelines and handle consistently changing priorities
  • Excellent verbal and written communication skills and able to clearly communicate complex topics effectively to a non-technical audience
  • Proficient with Microsoft Office (specifically: Excel and PowerPoint)
  • Ability to build and interpret simulation models for small to large scale simulation
  • Customer-driven team player with the ability to develop and maintain close customer relationships
  • Self-motivated and willing to learn to new technologies and modeling techniques
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