Senior Signal Processing Engineer
Core
Design and develop advanced signal processing algorithms for physiological time-series data to extract clinically meaningful features and biomarkers for sleep-disordered breathing and chronic conditions.
Role type
Senior IC signal processing engineer (physiological data)
Builds
Robust signal processing pipelines for filtering, denoising, segmentation, event detection, and feature extraction
Domain
Healthcare / Sleep technology / Biomedical signal processing
Deliverable
production ML models
Required skills
Digital signal processing (DSP), time-series analysis, pattern recognition, probability and statistics, optimization techniques, Python (NumPy, SciPy), MATLAB
Preferred skills
Sleep science, respiratory health, machine learning integration, cloud platforms (AWS), large-scale time-series datasets, regulatory knowledge (FDA, CE), real-time/embedded systems
Technologies
Python, NumPy, SciPy, MATLAB, AWS
Responsibilities
Design and optimize signal processing algorithms for physiological signals; Build pipelines for filtering, denoising, artifact detection, and feature extraction; Develop algorithms for event detection and classification; Collaborate with Data Scientists to integrate signal processing with AI/ML models; Define hypotheses and evaluate algorithm performance; Mentor junior engineers; Contribute to intellectual property and regulatory documentation
Seniority
Senior, hands-on IC with subject matter expertise