Description
Norbert is hiring a Signal Processing Engineer to develop and validate algorithms that extract clinical-grade physiological signals—heart rate, blood pressure, and respiration—from video-based sensors. The role involves real-time filtering, denoising, feature extraction, validation against clinical reference devices, millisecond-level synchronization, C++ integration with computer vision, cloud-based automated verification, and prototyping in Python and C++. Candidates need a master's degree or PhD in a relevant field, strong digital signal processing and real-time systems knowledge, expertise in physiological signal processing, and at least five years of industry experience developing signal processing algorithms for medical or physiological sensing applications.
