Sr Engineer II, Algorithm

Job Summary

The Senior Engineer II, Algorithm (ECG) is a senior-level individual contributor responsible for architecting, developing, validating, and optimizing advanced ECG-based signal processing algorithms for Masimo’s non-invasive medical device platforms.

This role provides technical leadership in the design and deployment of robust, real-time cardiac monitoring algorithms across the full product lifecycle — from early feasibility and system architecture through embedded implementation, verification, regulatory submission, and post-market optimization. The Senior Engineer II serves as a subject matter expert in ECG signal processing, mentors junior engineers, and influences system-level design decisions to ensure clinically meaningful, high-performance, and regulatory-compliant solutions.

• Architect, design, and optimize advanced ECG signal processing algorithms for cardiac monitoring applications, including arrhythmia detection, morphology analysis, interval measurement, heart rate variability, and multi-lead signal interpretation.
• Develop scalable signal conditioning, filtering, artifact rejection, motion compensation, and feature extraction methods suitable for real-time embedded deployment.
• Lead feasibility investigations and contribute to next-generation ECG feature development and measurement technologies.
• Translate clinical needs and system requirements into algorithm specifications, performance targets, and verification strategies.
• Implement and optimize algorithms in MATLAB and production-level C/C++ for embedded systems, ensuring computational efficiency, memory optimization, and real-time performance on constrained hardware platforms.
• Collaborate closely with firmware, hardware, and systems engineering teams to ensure seamless system-level integration and performance robustness.
• Lead large-scale clinical dataset analysis to evaluate algorithm accuracy, robustness, and reproducibility across diverse patient populations and signal conditions.
• Apply advanced statistical modeling and, where appropriate, machine learning techniques to enhance detection performance and minimize false positives and negatives.
• Develop and execute validation protocols, define performance metrics, and document verification results in compliance with FDA QSR (21 CFR Part 820), ISO 13485, and global regulatory requirements.
• Support risk management activities in accordance with ISO 14971, including hazard analysis, failure mode identification, and mitigation strategies.
• Contribute to regulatory submissions and technical documentation, and participate in design reviews, audits, and inspection readiness activities.
• Serve as a technical mentor to junior engineers and provide subject matter expertise in ECG algorithm development across multiple programs.
• Analyze post-market data and complaint trends to identify algorithm improvement opportunities and lead root cause investigations related to field performance.
• Contribute to intellectual property development, including invention disclosures and patent support where applicable.

• Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Applied Mathematics, or related technical discipline.
• 7+ years of experience in biomedical signal processing, including significant hands-on ECG waveform analysis experience.
• Deep expertise in digital signal processing, statistical modeling, and algorithm optimization.
• Strong proficiency in MATLAB and C/C++ for real-time embedded deployment.
• Demonstrated experience translating research algorithms into production-ready embedded solutions.
• Experience analyzing large-scale physiological datasets.
• Strong understanding of medical device design controls and regulatory frameworks.
• Proven ability to independently lead complex technical initiatives.
• Ability work onsite Monday - Friday in Irvine, CA.

• Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Biomedical Engineering, or related field.
• Experience developing algorithms for multi-parameter cardiac monitoring systems.
• Experience applying machine learning to ECG or physiological signal…