- Develop and implement software solutions for ADAS and autonomous driving features.
- Program and optimize algorithms for computer vision, object recognition, vehicle localization, and motion planning.
- Integrate sensor data from various sources (LiDAR, radar, cameras) for precise data fusion and real-time decision-making.
- Apply Machine Learning (ML) and Deep Learning methods to enhance system intelligence and adapt autonomous
driving features. - Engage in model-based development and simulation of vehicle behavior and driving assistance systems using MATLAB/Simulink.
- Develop real-time systems that enable quick reactions in safety-critical situations.
- Collaborate with interdisciplinary teams to advance innovative technologies for autonomous driving and Vehicle-to-Everything (V2X) communication.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Vehicle Technology, or a related field.
- Strong knowledge and practical experience in software development, particularly in C++, Python, and Java.
- Experience with MATLAB/Simulink and model-based development.
- In-depth knowledge of Computer Vision, Deep Learning, and Reinforcement Learning.
- Experience in sensor data integration (LiDAR, radar, cameras) and applications of SLAM (Simultaneous Localization and Mapping) and Sensor Fusion.
- Experience with the development of real-time systems and Real-Time Operating Systems (RTOS).
- Familiarity with Cloud Computing and data analysis for processing vehicle and sensor data.
- Knowledge of V2X communication and Cybersecurity aspects in connected systems.
- Strong mathematical skills in optimization, linear algebra, probability theory, and statistics.
We are looking for a talented and experienced Software Engineer or Engineer with strong knowledge and practical experience in Advanced Driver Assistance Systems (ADAS) and Autonomous Driving. In this key position, you will develop cutting-edge technologies and solutions for autonomous vehicles, contributing to innovative systems for driver assistance and vehicle automation.
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