Model Based Developer (MBD) | LorvenTech | Dearborn, MI

Tech Junction Ltd; Dearborn (MI); On-site; USD 85,000 - 105,000; Full time

Job summary

A dynamic tech company is seeking a Model Based Developer (MBD) in Dearborn, MI. This full-time role involves enhancing automotive ECU applications using advanced MBD methodologies and tools like MATLAB/Simulink. Candidates should have strong experience in MBD and automotive software. Collaborating across engineering teams is essential for delivering robust solutions. Interested applicants should highlight relevant project experiences in the application process.

Qualifications

• Strong hands-on experience in Model Based Development.
• Expertise in MATLAB scripting and MBD tool development.
• Solid understanding of automotive ECU software, especially Powertrain.

Responsibilities

• Develop and enhance MBD tools using MATLAB m-scripting.
• Execute full Model Based Development workflows for automotive applications.
• Support Powertrain ECU software development and integration.

Skills

Model Based Development

MATLAB scripting

Automotive ECU software

DaVinci Developer

CI/CD integration

Simulink Test Manager

Tools

DaVinci Configurator

Jenkins

GitHub

Job description

🔎 Job Title: Model Based Developer (MBD) | LorvenTech | Dearborn, MI
🏢 Recruiting Company: LorvenTech
🌍 Job Location: Dearborn, Michigan (On-site)
💼 Job Type: Full-Time
📧 Application Method: [e-mail]

💡 Position Summary

The Model Based Developer (MBD) will contribute to the design, development, and enhancement of automotive ECU applications using advanced MBD methodologies. This role focuses on developing MBD tools, supporting Powertrain ECU development, and enabling automation through MATLAB scripting and Simulink integrations. You’ll work closely with cross-functional engineering teams to deliver high-quality embedded software for next-generation automotive platforms.

📜 Detailed Job Description

As an MBD Developer, you will be responsible for building and improving MBD toolchains using MATLAB/Simulink scripting, executing model-based design workflows, and supporting ECU application development for Powertrain systems. You will work with tools such as DaVinci Developer, DaVinci Configurator, RTE configuration, and SimMBD automation GUI frameworks. Your role extends to supporting automated testing using Simulink Test Manager, TPT, and integrating CI/CD workflows with Jenkins and GitHub. You will collaborate across teams to ensure robust, scalable, and compliant automotive software solutions.

✅ Key Responsibilities

• Develop and enhance MBD tools using MATLAB m-scripting
• Execute full Model Based Development workflows for automotive applications
• Support Powertrain ECU software development and integration
• Perform RTE configurations using DaVinci Developer and DaVinci Configurator
• Collaborate with Powertrain, controls, and software engineering teams
• Work with SimMBD automation GUI for tool enhancements
• Use Simulink Test Manager and TPT for model-based testing
• Integrate CI/CD pipelines using Jenkins and GitHub

🎓 Required Skills & Experience

• Strong hands-on experience in Model Based Development
• Expertise in MATLAB scripting and MBD tool development
• Solid understanding of automotive ECU software, especially Powertrain
• Experience with AUTOSAR tools such as DaVinci Developer & Configurator
• Familiarity with CI/CD integration (Jenkins, GitHub)
• Knowledge of version control and automated testing frameworks
• Ability to collaborate with multi-disciplinary automotive teams

✨ Nice-to-Have Skills

• Experience with Simulink Test Manager automation
• Hands-on with TPT test tool
• Exposure to SimMBD or similar GUI automation tools
• Knowledge of automotive standards and compliance workflows
• Background in embedded C or software-in-loop testing

💡 Recruitment Pro Tip

Highlight MBD tools or automation frameworks you’ve built—especially any improvements to Simulink-Test workflows, AUTOSAR configurations, or Powertrain ECU model validation. Real project examples greatly increase your chances of being shortlisted.