Sr Engineer II, Algorithm
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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 classification.
- Familiarity with IEC 60601 standards and cardiac monitoring regulatory pathways.
- Experience supporting clinical studies and regulatory submissions.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
