Job Description
Job Summary
The R&D Algorithm Engineer will create new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next generation medical devices.
Duties & Responsibilities

• Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems.
• Perform data collection, analysis, and estimation techniques.
• Will interact with team members, including hardware and software engineers.
• Perform signal processing, optimization, numerical modeling, and working with C, C , and MATLAB.
• Create and conduct experiments to collect and process clinical studies in human subjects.
• Develop algorithms for photometric processing of physiological parameters. Implement physiological parameter measurement algorithms on embedded systems.
• Carry out statistical analysis of clinical data.

Minimum & Preferred Qualifications and Experience:
Minimum Qualifications

• Experience in statistical signal processing techniques, optimization methods, and numerical modeling.
• Expertise in data analysis and data mining.
• Familiarity with DSP architecture and embedded systems.
• Strong programming skills with C/C /Matlab and exposure to software engineering methods.
• Excellent conceptual, analytical, and problem-solving abilities.
• Ability to excel in a fast-paced and dynamic work environment.
• Excellent verbal and written communication skills.
• Exposure to DSP Programming.

Preferred Qualifications

• Experience in acoustics and vibrations theory is highly desired
• Demonstrated background in ultrasound sensor design is highly desired
• Experience working with Finite Element Model Tools is highly desired
• Soft and Solid mechanical engineering fundamentals
• Python coding experience
• Understanding human physiology and exposure to designing clinical protocols
• Prior experience in applications of signal processing tools to bio-medical signals

Education: An M.S. degree in Electrical Engineering, Biomedical Engineering, or a related field isrequired. A Ph.D. is preferred.
Compensation : The anticipated range for this position is $140,000 to $180,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience.
Physical Requirements/Work Environment
This 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. Some local travel is necessary, so the ability to operate a motor vehicle and maintain a valid Driver's license is required.
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.
About Us
For over thirty years, Masimo has been expanding the boundaries of noninvasive monitoring to improve patient outcomes and reduce the cost of care. Today, Masimo delivers a portfolio of hospital-trusted monitoring solutions to help increase patient safety, health, and wellness in the hospital and at home. When you join our team, you'll be part of a culture that's driven by passion, challenging the status quo, and making an impact in the lives of others.
Masimo is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state or local law.
***NO AGENCIES PLEASE*** Thank you!
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About the Team
Algorithm Engineering develops signal processing algorithms in our products for clinicians to interpret patients' biological data for monitoring or treatment.