Embedded Software Engineer (ADAS / Robotics) - Munich, Germany - Long Term Contract

ConSol Partners; München; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology firm in Munich is looking for an Embedded Software Engineer with 5+ years of experience in developing robotics and AI solutions for automotive applications. This role focuses on software development and optimization in C++ and Python, working with advanced ADAS features. Ideal candidates will have a strong background in ROS/ROS2 and embedded systems. This position requires hands-on experience with sensor integration and a track record of debugging skills. Competitive compensation and a 12-month initial contract are offered.

Qualifikationen

• 5+ years of professional experience in embedded software development, robotics, or automotive systems.
• Strong proficiency in C++ and Python, with real-time, multithreaded application experience.
• Hands-on experience with ROS/ROS2 and robotics middleware.

Aufgaben

• Design, develop, and optimize algorithms for robotics applications, focusing on ADAS features.
• Implement and debug software in C++ and Python for embedded and real-time systems.
• Work with ROS/ROS2 to develop modular and scalable robotics software stacks.

Kenntnisse

C++

Python

Robotics

ADAS

Networking protocols

Embedded systems debugging

Sensor calibration

Ausbildung

Bachelor's or Master's degree in Robotics, Computer Engineering, Electrical Engineering, or related field

Tools

ROS2

Wireshark

Jobbeschreibung

Embedded Software Engineer (ADAS / Robotics)

Initial 12 month contract + possible extensions

Munich (5 days onsite/week)

Start date – January 2026

Our client is seeking a skilled and experienced Embedded Software Engineer to join 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.

ADAS, Embedded technologies, computer vision, radar and camera processing, C++, ROS2, Python, AI.

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.

Qualifications

• Bachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ 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.

Recruitment process

2 interviews (1 remote, 1 in person) + 1 technical task.