Principal Engineer, Algorithm - ECG

Danaher Corporation•Irvine, CA

6d•$170,000 - $215,000•Onsite

About The Position

The Principal Engineer, Algorithm – ECG is responsible for the architecture, development, and advancement of ECG signal processing algorithms that support accurate and reliable cardiac monitoring across Masimo’s non-invasive platforms. This role provides technical and project leadership for the innovation in ECG-based measurements, including heart rate, rhythm analysis, and advanced cardiac insights, translating complex physiological signals into clinically meaningful outputs. This role collaborates closely with cross-functional teams spanning hardware, software, systems, and clinical disciplines to develop high-performance, regulatory-compliant solutions from concept through commercialization.

Requirements

B.S. Degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a related field.
12+ years of relevant experience in ECG algorithm development, signal processing, or related domain.
Deep expertise in ECG signal processing, digital signal processing, and statistical modeling.
Proven experience developing ECG algorithms, including waveform detection and cardiac feature extraction.
Strong programming skills in C/C++, MATLAB, Python, or similar.
Experience working with large-scale physiological or clinical datasets.

Nice To Haves

Master’s or Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a related field.
Experience with arrhythmia detection/classification algorithms or cardiac monitoring systems.
Knowledge of cardiac physiology and electrophysiology principles.
Experience applying machine learning techniques to ECG or time-series physiological data.
Familiarity with wearable or ambulatory ECG systems and associated signal challenges.

Responsibilities

Lead the design and development of advanced ECG signal processing algorithms, including filtering, feature extraction, waveform delineation, and rhythm classification.
Architect scalable algorithm frameworks for ECG analysis, supporting real-time embedded implementation and cloud-based analytics where applicable.
Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG morphology analysis.
Design and conduct validation strategies using clinical datasets to ensure algorithm accuracy, robustness, and generalizability across diverse patient populations.
Translate clinical and regulatory requirements into algorithm design inputs, ensuring compliance with applicable standards (e.g., FDA, IEC).