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HomeCompaniesEgcu Fa Us6 Oraclecloud Com CXPrincipal Engineer, Algorithm - ECG

Principal Engineer, Algorithm - ECG

Egcu Fa Us6 Oraclecloud Com CX · Irvine, CA, United States; US-52 Discovery · On Site · Active · $170,000–$215,000 / year · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEgcu Fa Us6 Oraclecloud Com CX
TitlePrincipal Engineer, Algorithm - ECG
Normalized title-
Department / teamAlgorithm Engineering
LocationIrvine, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$170,000–$215,000 / year
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-12 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Company breakdownsRole, location, ATS, and work model facets for this company.Open
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Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Irvine.Open
Department jobsActive postings in Algorithm Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEgcu Fa Us6 Oraclecloud Com CX
Sourceb0ba9a5c-00e8-4c9c-95ff-ba70de588145
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Job Summary: The Principal Engineer, Algorithm – ECG is a senior technical leader responsible for the architecture, development, and advancement of electrocardiogram (ECG) signal processing algorithms that enable accurate, reliable cardiac monitoring in Masimo’s non-invasive platforms. This role drives innovation in ECG-based measurement, including heart rate, rhythm analysis, and advanced cardiac insights, translating complex physiological signals into clinically actionable outputs. The Principal Engineer partners closely with cross-functional teams across hardware, software, systems, and clinical domains to deliver high-performance, regulatory-compliant solutions from concept through commercialization. Duties & Responsibilities: 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 Address signal quality challenges, including motion artifact, noise reduction, and low-perfusion or ambulatory conditions Partner with hardware and systems teams to ensure optimal signal acquisition and end-to-end system performance Collaborate with software and firmware teams to implement algorithms on embedded platforms with real-time constraints Translate clinical and regulatory requirements into algorithm design inputs, ensuring compliance with applicable standards (e.g., FDA, IEC) Establish best practices for algorithm verification, validation, and documentation in regulated environments Provide technical leadership and mentorship to engineers, contributing to team capability building Drive innovation and contribute to intellectual property, including patents and technical publications Minimum Qualifications: 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 Demonstrated ability to translate complex signal processing challenges into robust, real-time solutions Strong problem-solving, analytical, and cross-functional collaboration skills Ability to work onsite Monday - Friday in Irvine, CA Preferred Qualifications: 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 Experience supporting regulatory submissions (e.g., FDA 510(k), CE Mark) Prior contributions to patents, publications, or clinically validated products Education: Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a related field required; Master’s or Ph.D. preferred Language requirements: Ability to read, write, and communicate effectively in English Ability to interpret technical documents, schematics, and written instructions Ability to clearly document technical findings and communicate with cross-functional team members Compensation: The anticipated salary range for this position is $170,000 - $215k 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 15% annual bonus based on company, department, and individual performance. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Café. All benefits are subject to eligibility requirements. Physical requirements/Work environment: This position primarily works in an office environment and requires frequent sitting, standing, and walking. Daily use of a computer and other digital devices is required. This role may require standing for extended periods when facilitating meetings or walking through facilities. The 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.

Full job record

Job IDfbc389b31eb6edc6ee72a711277b2b1ef1e9420a
Org ID21ea49b6-8570-4b08-bcab-2b5512e56ee5
Source IDb0ba9a5c-00e8-4c9c-95ff-ba70de588145
Board IDb0ba9a5c-00e8-4c9c-95ff-ba70de588145
Provideroracle_hcm
Provider Job Key3791
TitlePrincipal Engineer, Algorithm - ECG
Normalized Title
Statusactive
Activeyes
Location TextIrvine, CA, United States; US-52 Discovery
DepartmentAlgorithm Engineering
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CityIrvine
Salary Rawsalary range for this position is $170,000 - $215k plus benefits
Salary Min170,000
Salary Max215,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://egcu.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/3791
Apply URLhttps://egcu.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/3791
First Seen At2026-05-31 18:06:53Z
Last Seen At2026-06-06 11:08:54Z
Last Checked At2026-06-06 11:08:54Z
Last Changed At2026-05-31 18:06:53Z
Inactive At
Source Posted At2026-05-12 17:39:46Z
Source Updated At
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The Principal Engineer partners closely with cross-functional teams across hardware, software, systems, and clinical domains to deliver high-performance, regulatory-compliant solutions from concept through commercialization.</p><p style=\"background-color: white;\"><strong>Duties &amp; Responsibilities:</strong></p><ul><li>Lead the design and development of advanced ECG signal processing algorithms, including filtering, feature extraction, waveform delineation, and rhythm classification&nbsp;</li><li>Architect scalable algorithm frameworks for ECG analysis, supporting real-time embedded implementation and cloud-based analytics where applicable&nbsp;</li><li>Develop and optimize algorithms for heart rate detection, arrhythmia identification, and ECG morphology analysis</li><li>Design and conduct validation strategies using clinical datasets to ensure algorithm accuracy, robustness, and generalizability across diverse patient populations&nbsp;</li><li>Address signal quality challenges, including motion artifact, noise reduction, and low-perfusion or ambulatory conditions&nbsp;</li><li>Partner with hardware and systems teams to ensure optimal signal acquisition and end-to-end system performance&nbsp;</li><li>Collaborate with software and firmware teams to implement algorithms on embedded platforms with real-time constraints&nbsp;</li><li>Translate clinical and regulatory requirements into algorithm design inputs, ensuring compliance with applicable standards (e.g., FDA, IEC)&nbsp;</li><li>Establish best practices for algorithm verification, validation, and documentation in regulated environments&nbsp;</li><li>Provide technical leadership and mentorship to engineers, contributing to team capability building&nbsp;</li><li>Drive innovation and contribute to intellectual property, including patents and technical publications</li></ul><p>&nbsp;</p><p style=\"background-color: white;\"><strong>Minimum Qualifications:</strong></p><ul><li>12+ years of relevant experience in ECG algorithm development, signal processing, or related domain</li><li>Deep expertise in ECG signal processing, digital signal processing, and statistical modeling&nbsp;</li><li>Proven experience developing ECG algorithms, including waveform detection and cardiac feature extraction&nbsp;</li><li>Strong programming skills in C/C++, MATLAB, Python, or similar&nbsp;</li><li>Experience working with large-scale physiological or clinical datasets&nbsp;</li><li>Demonstrated ability to translate complex signal processing challenges into robust, real-time solutions&nbsp;</li><li>Strong problem-solving, analytical, and cross-functional collaboration skills</li><li>Ability to work onsite Monday - Friday in Irvine, CA&nbsp;</li></ul><p style=\"background-color: white;\">&nbsp;</p><p style=\"background-color: white;\"><strong>Preferred Qualifications:&nbsp;</strong></p><ul><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpFirst\" style=\"text-align: justify;\">Experience with arrhythmia detection/classification algorithms or cardiac monitoring systems&nbsp;</p></li><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpMiddle\" style=\"text-align: justify;\">Knowledge of cardiac physiology and electrophysiology principles&nbsp;</p></li><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpMiddle\" style=\"text-align: justify;\">Experience applying machine learning techniques to ECG or time-series physiological data&nbsp;</p></li><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpMiddle\" style=\"text-align: justify;\">Familiarity with wearable or ambulatory ECG systems and associated signal challenges&nbsp;</p></li><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpMiddle\" style=\"text-align: justify;\">Experience supporting regulatory submissions (e.g., FDA 510(k), CE Mark)&nbsp;</p></li><li class=\"ortl-align-justify\"><p class=\"BulletListCxSpLast\" style=\"text-align: justify;\">Prior contributions to patents, publications, or clinically validated products</p></li></ul><p>&nbsp;</p><p><strong>Education:</strong></p><p>Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, or a related field required; Master’s or Ph.D. preferred</p><p><strong>Language requirements:</strong></p><ul><li>Ability to read, write, and communicate effectively in English</li><li>Ability to interpret technical documents, schematics, and written instructions</li><li>Ability to clearly document technical findings and communicate with cross-functional team members</li></ul><p>&nbsp;</p><p><strong>Compensation:</strong></p><p>The anticipated salary range for this position is $170,000 - $215k plus benefits. Actual placement within this range is dependent on multiple factors, including but not limited to skills, education, and experience. 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