Engineer II, Algorithm

Masimo•Irvine, CA

2d•$120,000 - $150,000•Onsite

About The Position

The Engineer II, Algorithm supports the design, development, testing, and optimization of advanced signal processing and physiological measurement algorithms used in Masimo’s medical technologies and monitoring platforms. This role contributes to the development of next-generation noninvasive monitoring solutions through data analysis, modeling, experimentation, and cross-functional engineering collaboration. The Engineer II works closely with algorithm, software, systems, hardware, clinical, and regulatory teams to develop robust, scalable, and clinically reliable algorithms that support product innovation and performance improvements across Masimo’s portfolio. Please note this is an onsite position at our Irvine, CA. office.

Requirements

2–5 years of related engineering experience in algorithm development, signal processing, biomedical engineering, software engineering, or a related technical discipline
Experience with digital signal processing, statistical analysis, optimization methods, and numerical modeling
Strong programming and software development skills using MATLAB, Python, C/C++, or similar technical computing languages
Experience analyzing large data sets and developing data-driven solutions
Strong analytical, problem-solving, and troubleshooting skills
Ability to work effectively in a fast-paced, collaborative, and highly technical environment
Strong written and verbal communication skills
Ability to manage multiple priorities and contribute across concurrent projects
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

Nice To Haves

Experience developing algorithms for biomedical, physiological, wearable, or medical device applications
Familiarity with machine learning, AI, or advanced data analytics techniques
Understanding of human physiology and biomedical signal acquisition methods
Understanding of embedded systems and software development principles
Experience working within regulated environments such as FDA, ISO 13485, or IEC 62304
Exposure to clinical study design, clinical data analysis, or verification and validation activities
Experience with cloud-based data analysis tools, version control systems, and collaborative software development workflows
Master's or PhD degree preferred

Responsibilities

Design, develop, implement, test, and optimize signal processing and physiological measurement algorithms for medical device applications.
Analyze physiological and clinical data sets to evaluate algorithm performance, accuracy, robustness, and reliability.
Support development activities across the algorithm lifecycle, including concept development, feasibility analysis, prototyping, verification, validation, and product integration.
Apply statistical analysis, numerical modeling, machine learning, and digital signal processing techniques to solve complex biomedical engineering problems.
Develop software tools, scripts, and simulation environments to support algorithm development and data analysis activities.
Collaborate with software, hardware, systems, clinical, and quality engineering teams to support product development initiatives.
Participate in clinical data collection activities, experimental design, and analysis of human subject study data.
Contribute to root cause investigations, troubleshooting efforts, and continuous improvement activities related to algorithm performance.
Document technical designs, development activities, verification results, and engineering analyses in accordance with design control and quality system requirements.
Support regulatory submissions and technical documentation activities as needed.
Participate in technical reviews, design discussions, and cross-functional project meetings.
Stay current with emerging technologies, industry trends, and advancements in biomedical signal processing, AI/ML applications, and physiological monitoring.