Principal Engineer, Algorithm - ECG

Location: On-site in Irvine, California, United States

Annual salary: $170,000–$215,000, plus eligibility for up to a 15% annual bonus.

Company

A global medical technology organization developing non-invasive monitoring technologies, patient monitors, sensors, and connectivity solutions for clinical care.

What you will do

• Lead the design and development of ECG signal processing algorithms, including filtering, feature extraction, waveform delineation, and rhythm classification.
• Architect scalable ECG analysis frameworks for real-time embedded systems and applicable cloud-based analytics.
• Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG morphology analysis.
• Design validation strategies using clinical datasets to assess accuracy, robustness, and generalizability across diverse patient populations.
• Translate clinical and regulatory requirements into algorithm design inputs and support compliance with FDA, IEC, and applicable standards.
• Collaborate with hardware, software, systems, and clinical teams from concept through commercialization.

Requirements

• Bachelor’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 a related domain.
• Deep expertise in ECG signal processing, digital signal processing, and statistical modeling.
• Experience developing ECG algorithms for waveform detection and cardiac feature extraction.
• Strong programming skills in C, C++, MATLAB, Python, or similar technologies.
• Experience working with large-scale physiological or clinical datasets.

Nice to have

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

Culture & Benefits

• Work within a life sciences, diagnostics, and biotechnology environment focused on clinical impact.
• Comprehensive medical, dental, and vision insurance for eligible employees.
• Paid time off and 401(k) benefits for eligible employees.
• Participation in a continuous-improvement operating system.