Systems & Applications Engineer (ADAS/AI)

European Tech Recruit; München; Vor Ort; EUR 70.000 - 90.000; Teilzeit

Zusammenfassung

A leading tech recruitment firm is seeking a Systems & Applications Engineer specializing in ADAS and AI for a 12-month freelance contract in Munich. The ideal candidate has over 5 years of experience in embedded systems and strong technical skills in C++, Python, and robotics. Responsibilities include developing algorithms, implementing real-time software, and working with various sensors. This role supports the next generation of autonomous driving features.

Qualifikationen

• 5+ years professional experience in embedded software, robotics, or automotive systems.
• Familiarity with automotive networking protocols and debugging tools.
• In-depth knowledge of Radar, LiDAR, IMU, and Camera processing.

Aufgaben

• Develop and optimise algorithms for ADAS features.
• Implement and debug real-time software in C++ and Python.
• Use ROS/ROS2 to build scalable robotics software stacks.
• Integrate and interface with sensors for data fusion.

Kenntnisse

Embedded software

Real-time software (C++/Python)

ROS/ROS2

Applied AI in sensor solutions

Automotive networking protocols

Ausbildung

Strong degree (BSc/MSc) in Robotics, Computer Science, or related field

Jobbeschreibung

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 [e-mail].

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