Remote Control Software Engineer

DMV IT Service-posted 13 days ago
Mid Level
Chillicothe, IL
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The Control Software Engineer is responsible for designing, developing, integrating, and testing scalable software features for embedded control systems and machine vision components. This role focuses on building reliable functionality that supports remote machine operation, real-time responsiveness, system safety, and high-performance embedded workflows. The engineer ensures that all implemented features meet performance, reliability, and operational standards.

  • 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.
  • 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.
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