Location: Munich, Germany

Duration: 12 Months

(On-Site 3 days per week) // Candidates Must Be Based in Germany already

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.

Requirements:

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related field.

• 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..