{"schemaVersion":"jobsearcher.job.v1","id":"a749bba81999e25dc8698ef2","url":"https://jobsearcher.com/jobs/a749bba81999e25dc8698ef2","canonicalUrl":"https://jobsearcher.com/jobs/a749bba81999e25dc8698ef2","title":"Sr Engineer II, Algorithm (ECG)","description":"Job Summary\r\nThe 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.\r\nThis 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.\r\nDuties & Responsibilities:\r\n\r\nArchitect, 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.\r\nDevelop scalable signal conditioning, filtering, artifact rejection, motion compensation, and feature extraction methods suitable for real-time embedded deployment.\r\nLead feasibility investigations and contribute to next-generation ECG feature development and measurement technologies.\r\nTranslate clinical needs and system requirements into algorithm specifications, performance targets, and verification strategies.\r\nImplement 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.\r\nCollaborate closely with firmware, hardware, and systems engineering teams to ensure seamless system-level integration and performance robustness.\r\nLead large-scale clinical dataset analysis to evaluate algorithm accuracy, robustness, and reproducibility across diverse patient populations and signal conditions.\r\nApply advanced statistical modeling and, where appropriate, machine learning techniques to enhance detection performance and minimize false positives and negatives.\r\nDevelop 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.\r\nSupport risk management activities in accordance with ISO 14971, including hazard analysis, failure mode identification, and mitigation strategies.\r\nContribute to regulatory submissions and technical documentation, and participate in design reviews, audits, and inspection readiness activities.\r\nServe as a technical mentor to junior engineers and provide subject matter expertise in ECG algorithm development across multiple programs.\r\nAnalyze post-market data and complaint trends to identify algorithm improvement opportunities and lead root cause investigations related to field performance.\r\nContribute to intellectual property development, including invention disclosures and patent support where applicable.\r\n\r\nMinimum Qualifications\r\n\r\nBachelor's or Master's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Applied Mathematics, or related technical discipline.\r\n7+ years of experience in biomedical signal processing, including significant hands-on ECG waveform analysis experience.\r\nDeep expertise in digital signal processing, statistical modeling, and algorithm optimization.\r\nStrong proficiency in MATLAB and C/C++ for real-time embedded deployment.\r\nDemonstrated experience translating research algorithms into production-ready embedded solutions.\r\nExperience analyzing large-scale physiological datasets.\r\nStrong understanding of medical device design controls and regulatory frameworks.\r\nProven ability to independently lead complex technical initiatives.\r\nAbility work onsite Monday - Friday in Irvine, CA.\r\n\r\nPreferred Qualifications\r\n\r\nAdvanced degree (M.S. or Ph.D.) in Electrical Engineering, Biomedical Engineering, or related field.\r\nExperience developing algorithms for multi-parameter cardiac monitoring systems.\r\nExperience applying machine learning to ECG or physiological signal classification.\r\nFamiliarity with IEC 60601 standards and cardiac monitoring regulatory pathways.\r\nExperience supporting clinical studies and regulatory submissions.\r\n\r\nEducation\r\nBachelor's degree required; Master's or Ph.D. preferred in Electrical Engineering, Biomedical Engineering, or related discipline.\r\nCompensation\r\nThe anticipated salary range for this position is $139,000 - $185k plus benefits. Actual placement within this range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on company, department, and individual performance.\r\nPhysical requirements/Work Environment\r\nThis position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer and other computing and digital devices is required. May stand for extended periods when facilitating meetings or walking in the facilities.\r\nThe physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.","company":"Masimo","rawCompany":"masimo","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-10T04:51:12.290Z","occupations":[{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"},{"code":"29-1212.00","title":"Cardiologists","slug":"cardiologists"},{"code":"29-2031.00","title":"Cardiovascular Technologists and Technicians","slug":"cardiovascular-technologists-and-technicians"}],"industries":[{"code":"334510","title":"Electromedical and Electrotherapeutic Apparatus Manufacturing","slug":"electromedical-and-electrotherapeutic-apparatus-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Engineer II, Algorithm (ECG)","description":"Job Summary\r\nThe 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.\r\nThis 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.\r\nDuties & Responsibilities:\r\n\r\nArchitect, 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.\r\nDevelop scalable signal conditioning, filtering, artifact rejection, motion compensation, and feature extraction methods suitable for real-time embedded deployment.\r\nLead feasibility investigations and contribute to next-generation ECG feature development and measurement technologies.\r\nTranslate clinical needs and system requirements into algorithm specifications, performance targets, and verification strategies.\r\nImplement 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.\r\nCollaborate closely with firmware, hardware, and systems engineering teams to ensure seamless system-level integration and performance robustness.\r\nLead large-scale clinical dataset analysis to evaluate algorithm accuracy, robustness, and reproducibility across diverse patient populations and signal conditions.\r\nApply advanced statistical modeling and, where appropriate, machine learning techniques to enhance detection performance and minimize false positives and negatives.\r\nDevelop 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.\r\nSupport risk management activities in accordance with ISO 14971, including hazard analysis, failure mode identification, and mitigation strategies.\r\nContribute to regulatory submissions and technical documentation, and participate in design reviews, audits, and inspection readiness activities.\r\nServe as a technical mentor to junior engineers and provide subject matter expertise in ECG algorithm development across multiple programs.\r\nAnalyze post-market data and complaint trends to identify algorithm improvement opportunities and lead root cause investigations related to field performance.\r\nContribute to intellectual property development, including invention disclosures and patent support where applicable.\r\n\r\nMinimum Qualifications\r\n\r\nBachelor's or Master's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Applied Mathematics, or related technical discipline.\r\n7+ years of experience in biomedical signal processing, including significant hands-on ECG waveform analysis experience.\r\nDeep expertise in digital signal processing, statistical modeling, and algorithm optimization.\r\nStrong proficiency in MATLAB and C/C++ for real-time embedded deployment.\r\nDemonstrated experience translating research algorithms into production-ready embedded solutions.\r\nExperience analyzing large-scale physiological datasets.\r\nStrong understanding of medical device design controls and regulatory frameworks.\r\nProven ability to independently lead complex technical initiatives.\r\nAbility work onsite Monday - Friday in Irvine, CA.\r\n\r\nPreferred Qualifications\r\n\r\nAdvanced degree (M.S. or Ph.D.) in Electrical Engineering, Biomedical Engineering, or related field.\r\nExperience developing algorithms for multi-parameter cardiac monitoring systems.\r\nExperience applying machine learning to ECG or physiological signal classification.\r\nFamiliarity with IEC 60601 standards and cardiac monitoring regulatory pathways.\r\nExperience supporting clinical studies and regulatory submissions.\r\n\r\nEducation\r\nBachelor's degree required; Master's or Ph.D. preferred in Electrical Engineering, Biomedical Engineering, or related discipline.\r\nCompensation\r\nThe anticipated salary range for this position is $139,000 - $185k plus benefits. Actual placement within this range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on company, department, and individual performance.\r\nPhysical requirements/Work Environment\r\nThis position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer and other computing and digital devices is required. May stand for extended periods when facilitating meetings or walking in the facilities.\r\nThe physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.","datePosted":"2026-05-10T04:51:12.290Z","dateModified":"2026-05-10T04:51:12.290Z","hiringOrganization":{"@type":"Organization","name":"Masimo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a749bba81999e25dc8698ef2"},"url":"https://jobsearcher.com/jobs/a749bba81999e25dc8698ef2"}}