Embedded Software Engineer
vor 5 Stunden
Embedded SW Engineer (ADAS / Computer Vision) – Munich – Long Term Contract
My client are recruiting for a skilled and experienced Embedded Software Engineer on a long terms contract / feeelance basis to their team in developing cutting-edge robotic and AI-based solutions for the automotive industry. In this mid-level role, you will play a key part in designing, implementing, debugging, and optimizing software and hardware systems that power intelligent autonomous technologies. You will work with a diverse set of sensors and embedded platforms, contributing to real-world autonomous driving features.
Key Responsibilities
- Design, develop, and optimize algorithms for robotics applications, with a focus on ADAS features (AEB, ACC, etc.), sensor calibration, and radar-based AI solutions.
- Implement and debug software in C++ and Python for embedded and real-time systems.
- Work with ROS/ROS2 to develop modular, scalable, and reusable robotics software stacks.
- Integrate and interface with sensors such as radar, LiDAR, cameras, and IMUs, ensuring proper calibration and data fusion.
- Develop networking solutions for real-time communication between ECUs, sensors, and compute nodes (Ethernet, CAN, UDP/TCP).
- Collaborate with cross-functional teams to integrate software with hardware platforms, ensuring system stability and performance.
- Perform in-depth debugging and troubleshooting of embedded systems, including performance profiling and root-cause analysis.
- Support system-level testing, validation, and documentation of robotic and AI modules.
- Contribute to code reviews, architecture discussions, and best practices for software quality.
Skills / Experience:
- 3+ years of professional experience in embedded software development, robotics, or automotive systems.
- Strong proficiency in C++ and Python, with experience in real-time, multithreaded applications.
- Hands-on experience with ROS/ROS2 and robotics middleware.
- Familiarity with networking protocols and debugging tools (Wireshark, CAN analyzers, etc.).
- Knowledge of how sensors such as radar, LiDAR, IMU, and cameras work and how to process their data.
- Experience with sensor calibration, synchronization, and fusion techniques.
- Strong debugging, profiling, and performance optimization skills for embedded systems.
- Excellent problem-solving skills, attention to detail, and ability to work independently while collaborating with a multidisciplinary team
If this exciting opportunity could be of interest - please let me know ASAP. Interviews can be arranged on short notice.
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