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.
The position reports to the Manager, Algorithm - ECG and is part of the R&D Algorithm Engineering department located in
Irvine, CA and will be an
on-site role.In This Role, You Will Have The Opportunity To:- 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).
The Essential Requirements Of The Job Include:- 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.
It would be a plus if you also possess previous experience in:- 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.
Masimo, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
The annual salary range OR the hourly range for this role is $170,000 - $215,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for up to a 15% annual bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
