Systems & Applications Engineer (ADAS/AI)

Systems & Applications Engineer (ADAS/AI)

Location: Munich, Germany
Contract: 12‑month freelance

Overview: Lead the design and optimisation of embedded systems for next‑generation ADAS and Autonomous Driving features. The role requires expertise in real‑time sensor processing (Radar, Camera, LiDAR) and developing robust, C++‑based AI/Robotics solutions for the automotive sector.

Key Responsibilities

• Develop and optimise algorithms for ADAS features, sensor calibration, and radar‑based AI.
• Implement and debug real‑time software in C++ and Python for embedded platforms.
• Use ROS/ROS2 to build scalable robotics software stacks.
• Integrate and interface with sensors (Radar, LiDAR, Cameras, IMUs) for data fusion.
• Develop real‑time networking solutions between ECUs and sensors (Ethernet, CAN).
• Collaborate with teams to integrate software with hardware platforms.
• Perform in‑depth debugging, performance profiling, and root‑cause analysis on embedded systems.
• Contribute to code reviews and architecture discussions.

Core Technical Skills (Must‑Haves)

• Embedded and real‑time software (C++/Python)
• ROS/ROS2 robotics middleware
• Applied AI in sensor solutions (Radar, LiDAR, IMU, Camera)
• Automotive networking protocols (Ethernet, CAN)

Qualifications & Experience

• 5+ years professional experience in embedded software, robotics, or automotive systems.
• Strong degree (BSc/MSc) in Robotics, Computer Science, or related field.
• Familiarity with automotive networking protocols and debugging tools.
• In‑depth knowledge of Radar, LiDAR, IMU, and Camera processing.
• Experience with sensor calibration, synchronisation, and fusion.
• Strong debugging, profiling, and performance optimisation skills.

How to Apply

Apply directly through LinkedIn or email your CV to .

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