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Modeling And Simulation Jobs in Michigan (NOW HIRING)

Model operational environments, perform system simulations and recommend alternative architectures. * Perform modeling, simulation, and analysis tasks assess system survivability, system ...

Simulation Engineer

Auburn Hills, MI · On-site

$70 - $100/hr

Model operational environments, perform system simulations and recommend alternative architectures. Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness ...

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Modeling And Simulation information

See Michigan salary details

$34K

$88.3K

$125.5K

How much do modeling and simulation jobs pay per year?

As of Aug 28, 2026, the average yearly pay for modeling and simulation in Michigan is $88,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $112,900.00 per year, depending on experience, location, and employer.

What is a modeling and simulation job?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.

What are the key skills and qualifications needed to thrive as a modeling and simulation specialist?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in modeling and simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What job categories do people searching Modeling And Simulation jobs in Michigan look for?

The top searched job categories for Modeling And Simulation jobs in Michigan are:

What cities in Michigan are hiring for Modeling And Simulation jobs?

Cities in Michigan with the most Modeling And Simulation job openings:

Infographic showing various Modeling And Simulation job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $88,254 per year, or $42.4 per hour.

Modeling & Simulation Engineer - Automotive

ALTEN Technology USA

Auburn Hills, MI

Full-time

Posted 13 days ago


Job description

Job Description

  • 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

Requirements / Basic Qualifications:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field
  • A minimum of 3 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