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Open nowPosted 6 hours ago

Plant Modeling and Simulation Engineer

Stellantis375 open roles

Where
Auburn Hills, MI, USA
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Your applicationOpen nowPlant Modeling and Simulation EngineerStellantis · Auburn Hills, MI, USA

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Stellantis postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 6 hours ago

Stellantis median: 9 days open

The posting

We are seeking a Plant Modeling and Simulation Engineer to develop, validate, and maintain high-quality plant models supporting XIL, virtual validation, and system integration activities. This role focuses on building scalable, reusable models across multiple vehicle domains and ensuring alignment with system-level requirements and verification workflows.

The engineer will work closely with cross-functional teams including system design, architecture, controls, and testing organizations to enable efficient virtual development and validation using model-based techniques.

This role is ideal for engineers who:

  • Enjoy deep technical work in modeling and simulation
  • Want to contribute to system-level development and validation
  • Are building toward technical leadership or system architecture roles

Key Responsibilities:

Plant Model Development

  • Develop and maintain 0D/1D plant models representing physical systems (e.g., propulsion, chassis, ADAS, infotainment).
  • Ensure models meet appropriate fidelity levels depending on development phase (concept, design, integration, validation).
  • Perform model validation and correlation against requirements and test data.
  • Support model reduction and optimization for simulation efficiency.

Model-Based Development Support

  • Integrate plant models into XIL workflows and environments.
  • Support virtual testing, requirement validation, and system verification activities.
  • Collaborate with controls and system engineers to ensure alignment between plant models and control strategies.
  • Contribute to continuous integration pipelines for model development and validation.

Collaboration & Integration

  • Work with:
  • System and functional design teams
  • Architecture and simulation framework teams
  • Testing and validation teams
  • Suppliers and tool vendors
  • Ensure plant models:
  • Are compatible with simulation platforms
  • Support cross-domain integration
  • Enable efficient data exchange and reuse

Model Quality & Governance

  • Follow established modeling best practices and standards
  • Participate in:
  • Model reviews
  • Quality checks and validation processes
  • Maintain:
  • Model documentation
  • Version control and configuration management

Continuous Improvement

  • Support initiatives to improve:
  • Model fidelity and performance
  • Reusability and scalability
  • Simulation efficiency
  • Contribute to tool evaluation, benchmarking, and process enhancements

Basic Qualifications:

  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field
  • A minimum of 5 years of experience in plant modeling, simulation, or V&V environments
  • Strong understanding of Model-Based Development (MBD) and virtual testing methods
  • Experience with MATLAB/Simulink or similar modeling tools
  • Knowledge of physical system modeling (0D/1D)
  • Strong problem-solving and analytical skills
  • Knowledge of CI/CD tools and methods
  • Experience in one scripting language

Preferred Qualifications:

  • Experience in automotive OEM
  • Familiarity with xIL environments (MIL/SIL/HIL)
  • Understanding of automotive V&V processes and standards
  • Experience with:
  • Model validation and correlation
  • Variant/configuration management
  • Version control systems
  • Domain experience in:
  • Propulsion
  • ADAS
  • Chassis
  • Infotainment

Key Competencies:

  • Strong collaboration and communication skills
  • Ability to work in cross-functional teams
  • Attention to detail and commitment to model quality
  • Adaptability to Agile development environments
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