Description
The Signal Processing Engineer develops and optimizes algorithms for time-domain and frequency-domain analysis, including filtering, denoising, feature extraction, detection, statistical analysis, uncertainty quantification, and anomaly detection. The role processes laboratory and field measurement data, builds automated analysis tools and dashboards, calibrates and validates sensors and instrumentation, integrates algorithms into deployed systems, and supports experimental design and test planning. Candidates need a BS/MS/PhD in a relevant engineering or data science field and at least five years of experience in signal processing, data analysis, or sensing systems, along with strong Python, MATLAB, C/C++, and Git skills.
