Engineer II, Algorithm

Job Title

Engineer II, Algorithm

Job Summary:

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.

Duties & 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.

Minimum Qualifications:

• 2–5 years of related engineering experience in algorithm development, signal processing, biomedical engineering, software engineering, or a related technical discipline within the medical device industry

• 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

Preferred Qualifications:

• 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

Education:

Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field required. Master's or PhD degree preferred.

Language requirements:

• Ability to read, write, and communicate effectively…