Embedded Systems Data Science Engineer

 Start: As soon as possible

Contract Type: Permanent position

About the Role

We are looking for an experienced Embedded Systems Engineer – Sensor Data & Algorithms to join our international team in Germany and Tunisia. The focus of this role is on IMU sensors, in particular accelerometers, and the development of algorithms for innovative healthcare applications. You will work at the intersection of sensor signal processing, embedded systems, and machine learning.

Your responsibilities

Analyze and process sensor signals to identify relevant patterns, anomalies, and events. Design, develop, and implement machine learning and deep learning algorithms for sensor-based applications. Deploy models either on embedded/edge devices (on-device) or in cloud environments. Collaborate closely with an interdisciplinary team of hardware, software, and healthcare experts. Contribute to the continuous optimization of our data and model pipeline.

Your profile

Minimum 3 years of professional experience in a relevant engineering or software development role (internships and study projects do not count). Experience in developing algorithms for sensor-based systems, with proven expertise in IMU sensors, in particular accelerometers, and related signal processing methods (filtering, time series analysis, feature extraction). Strong knowledge in machine learning / deep learning and hands-on experience with frameworks such as Python, TensorFlow, PyTorch, Scikit-learn. Practical experience in deploying algorithms on either STM32 microcontrollers / embedded systems or in cloud environments. Very good command of English, both spoken and written (project language is English, international team).