Control Software Engineer

Job not on LinkedIn

November 24

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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DMV IT Service

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Education • IT Consulting • SaaS

DMV IT Service is a CompTIA authorized partner offering an extensive range of IT training and consultation services. Based in Washington, DC, they specialize in empowering future IT professionals through comprehensive courses, mentorship, and expert consulting for businesses. Their services include business modernization, app development, and job placement assistance nationwide.

2 - 10 employees

Founded 2020

📚 Education

☁️ SaaS

📋 Description

• Develop and implement software features for embedded electronic control systems used in remote-controlled machinery. • Build and integrate machine vision functionality including sensor processing, perception logic, and visual feedback systems. • Integrate software modules into existing embedded platforms to enhance remote operation and control performance. • Conduct full-cycle software testing, validation, and troubleshooting on embedded hardware. • Analyze system behavior and optimize performance across control, communication, and processing components. • Produce technical documentation such as design specifications, integration notes, and testing reports. • Collaborate with engineers across multiple disciplines to refine system capabilities and ensure feature quality. • Ensure all software meets internal engineering, safety, and reliability standards.

🎯 Requirements

• Strong hands-on experience with embedded software development. • Proficiency in C, C++, or similar low-level programming languages. • Knowledge of embedded platforms, real-time operating systems, or machine control environments. • Experience working with machine vision systems or integrating sensor technologies. • Ability to debug, analyze, and optimize embedded software performance. • Strong understanding of hardware-software interaction and integration principles. • Excellent documentation and communication skills. • Ability to work effectively in a collaborative engineering environment. • Experience developing features for remote control systems, autonomous machinery, or robotics. • Knowledge of communication protocols such as CAN, Ethernet, or serial interfaces. • Background in validation frameworks, hardware-in-the-loop testing, or embedded diagnostics. • Familiarity with safety-critical or industrial equipment systems. • Experience designing scalable architectures for embedded or distributed systems.