Embedded Software Engineer – MATLAB​/Simulink | LorvenTech | Mossville, IL

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Job Title:

Embedded Software Engineer – MATLAB/Simulink | Lorven Tech | Mossville, IL

🏢 Recruiting Company:
Lorven Tech
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Job Location:

Mossville, Illinois (On-site)
💼 Job Type: Contract
📧 Application Method:

The Embedded Software Engineer will design, develop, and validate embedded control and diagnostic software for industrial and machine applications. This role requires strong expertise in MATLAB/Simulink modeling, Embedded C programming, and integration within automotive or industrial-grade embedded platforms.

In this role, you will work closely with hardware, toolchain, and system engineering teams to develop embedded algorithms and control systems using MATLAB/Simulink. You will support model-based development workflows, convert models into production‑ready embedded code, and contribute to signal processing, diagnostics, and control strategies. Additionally, you will assist with software integration, testing, and validation on industrial and machine platforms. Candidates with AUTOSAR architecture exposure and experience in diagnostic controls will be well‑suited for this opportunity.

• Design, configure, and test embedded control algorithms for machine and industrial systems
• Develop diagnostic algorithms and signal processing logic using MATLAB/Simulink
• Implement embedded software in C for real‑time control applications
• Collaborate with hardware, toolchain, and system engineering teams
• Support integration, testing, and validation of embedded software on target hardware
• Ensure compliance with automotive/industrial embedded development standards
• Troubleshoot embedded software issues and provide technical solutions

• Strong hands‑on experience with Embedded C programming
• Proficiency in MATLAB/Simulink for model‑based design (MBD)
• Knowledge of AUTOSAR architecture and embedded workflows
• Experience with embedded diagnostic and control systems
• 5+ years of relevant embedded software development experience
• Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field

• Experience with industrial control units, ECUs, or machine systems
• Familiarity with hardware‑in‑the‑loop (HIL) testing or simulation tools
• Understanding of real‑time operating systems (RTOS)
• Knowledge of CAN protocols, diagnostics (UDS), and embedded communication stacks

Showcase specific control algorithms, diagnostics, or model‑based workflows you’ve delivered—especially projects involving Simulink‑to‑C code generation or AUTOSAR integration. Quantifying improvements (latency reduction, performance gains, diagnostic accuracy) can make your application stand out.