Embedded Software Engineer IV

Embedded Software Engineer IV
Location : Forth Worth, TX (hybrid - 3x/wk onsite)
Target Start Date : ASAP
Long-Term Contract (2-3+ years)
Pay Rate : $70.00-$81.50/hr

Summary
Our client, a global leader in advanced autonomous and robotic solutions across multiple industries, is seeking a highly skilled Embedded Software Engineer to lead the development, integration, and optimization of real-time embedded software for advanced autonomous vehicle platforms. This role requires deep expertise in embedded C/C++, RTOS-based systems, and low-level hardware/software integration, supporting complex vehicle control, actuator, and sensor-driven systems operating in demanding real-world environments. The ideal candidate brings a strong systems mindset, hands-on debugging and integration experience, and the ability to work across the full software development lifecycle—from architecture and feature development through testing, field deployment, and long-term system support.

• Lead embedded software feature development for autonomous robotic vehicle systems.
• Design, develop, and troubleshoot embedded applications supporting vehicle control, actuators, and sensor systems.
• Drive software integration across embedded hardware, controls, and systems engineering teams.
• Develop clean, maintainable C/C++ code using modern software engineering principles and design patterns.
• Build and maintain unit, integration, and simulation test frameworks using a test-driven approach.
• Support field deployments, debug complex system issues, and contribute to continuous software improvement efforts.
• Collaborate across cross-functional engineering teams to ensure reliable system performance and integration.

• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 7+ years of experience developing embedded real-time software systems in C/C++.
• Strong experience with multithreaded embedded applications and RTOS environments.
• Familiarity with embedded hardware, electrical systems, and mechanical system interaction.
• Experience with communication protocols such as CAN, TCP/IP, UDP, SPI, or RS232.
• Experience interfacing with sensors including GPS, LiDAR, RADAR, ultrasonics, or similar technologies.

• Experience with ROS/ROS2, autonomous systems, robotics, or vehicle platforms.
• Familiarity with Agile development methodologies.
• Experience with device drivers, embedded Linux, or flash programming tools.
• Background in system simulation, debugging, and embedded software testing.
• Exposure to AI technology is a big plus

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