Automotive Embedded Software Engineer
Job in
Peoria, Peoria County, Illinois, 61639, USA
Listed on 2026-07-14
Listing for:
Global Connect Technologies
Full Time
position Listed on 2026-07-14
Job specializations:
-
Software Development
Embedded Systems/ Firmware/ IoT, Embedded Software Engineer, Unix/Linux, C++ Developer
Job Description & How to Apply Below
Job Title:
Embedded Software Engineer – C++ Linux (Camera & Radar Perception)
Job Summary
We are seeking an experienced Embedded Software Engineer to design, develop, integrate, and validate embedded software for safety‑critical machine applications with a focus on camera and radar‑based perception systems
. The ideal candidate will have strong expertise in C++ development on Linux
, embedded system integration, sensor data processing, and system‑level debugging. This role involves working closely with cross‑functional engineering teams to develop high‑performance software for autonomous and intelligent machine applications.
- Design, develop, integrate, and maintain embedded software for safety‑critical machine control and perception systems.
- Develop high‑performance embedded applications using C++ on Linux
‑based embedded platforms. - Design and optimize camera and radar data processing pipelines for perception and autonomous machine functionality.
- Integrate perception software with embedded hardware, sensors, ECUs, and machine control systems.
- Debug software, hardware, and system‑level issues using industry‑standard debugging and diagnostic tools.
- Develop and execute software validation plans, including unit, integration, regression, functional, and system‑level testing.
- Collaborate with systems engineering, controls, validation, and global software development teams throughout the product lifecycle.
- Optimize software performance, reliability, scalability, and maintainability.
- Participate in software architecture design, technical reviews, and code reviews.
- Manage source code, software releases, and configuration management using Git and modern development practices.
- Document software designs, test results, and technical specifications.
- Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics
, or a related technical field. - 5+ years of experience developing embedded software using C++ on Linux platforms.
- Strong understanding of object‑oriented programming and software design principles.
- Experience developing software for embedded, robotics, autonomous, automotive, or industrial machine applications.
- Strong programming skills in C++.
- Embedded software development on Linux
. - Experience with camera and radar sensor data processing
. - Knowledge of embedded communication protocols including CAN and Ethernet
. - Strong debugging and troubleshooting skills at software, hardware, and system levels.
- Experience with Git
, compilers, debuggers, and embedded software development tools. - Understanding of software integration, validation, regression testing, and system testing.
- Experience with NVIDIA Jetson, CUDA, TensorRT, or DRIVE platforms
. - Knowledge of GStreamer and multimedia pipeline development.
- Experience with robotics, autonomous systems, perception algorithms, or sensor fusion
. - Experience using unit testing frameworks such as Google Test (GTest).
- Familiarity with real‑time embedded systems and safety‑critical software development.
- Experience mentoring junior engineers and leading technical discussions.
- Embedded C++ software development on Linux.
- Camera and radar perception software development.
- Embedded system integration, debugging, and troubleshooting.
- Strong analytical and problem‑solving abilities.
- Excellent written and verbal communication skills.
- Ability to work effectively in cross‑functional and global engineering teams.
- Self‑motivated with strong organizational and time management skills.
- Ability to manage multiple priorities in a fast‑paced product development environment.
- Leadership and mentoring experience is a plus.
Candidates with experience in the following industries are highly preferred:
- Automotive ADAS and Autonomous Driving
- Off‑Highway Vehicles
- Robotics
- Autonomous Machines
- Embedded Systems Development
- Heavy Equipment and Construction Machinery
- Safety‑Critical Embedded Software Engineering
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