About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Senior Algorithms Engineer

Digital Healthcare | Analog Devices

About Analog Devices

Job Summary

The demand for remote health monitoring and disease management will continue to grow exponentially as the continuum of care extends to remote settings. Next generation solutions enabling this transformation increasingly rely on providing actionable insights at the point of care - signal processing, data analytics, and AI/ML-enabled algorithms are core diferentiators of these systems.

The Digital Healthcare business group is seeking a hands-on and experienced Senior Algorithms Engineer to lead the design, development, and optimization of signal processing and data analytics algorithms for next-generation multi-parameter patient monitoring and diagnostic solutions. The ideal candidate has strong foundation in biomedical signal processing and data analytics with a proven record of developing algorithms for real-time or near–real-time systems. This role requires close collaboration with clinical, software, hardware, ﬁrmware and QA/RA teams to ensure algorithms are validated, reliable, and ready for production deployment.

Key Responsibilities

Algorithm Development & Data Analytics

Take ownership of the design, implementation, and optimization of algorithms, from concept through prototyping and performance evaluation.
Apply signal processing techniques to extract robust features from noisy, real-world sensor signals.
Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability.

Combine classical signal processing and data-driven approaches where appropriate.
Analyze diverse datasets (clinical and device-generated) to ensure algorithm reliability across patient populations and physiological conditions.

Design Transfer

Implement algorithms in production-quality code (embedded C/C++, Python, or equivalent), ensuring reliability, eficiency, and maintainability.
Support Design Transfer of algorithms and software modules into production ﬁrmware and cloud-based systems.
Participate in software architecture decisions and ensure alignment with IEC 62304 development processes.

Cross-functional & Technical Collaboration

Serve as a primary technical contact for internal and external partners regarding algorithmic behavior, performance, and implementation constraints.
Collaborate closely with hardware, ﬁrmware, and clinical science teams to ensure full alignment between signal acquisition hardware and algorithm design.
Work with QA/RA and clinical teams to support documentation, traceability, and regulatory submissions.

Support, Debugging & Continuous Improvement

Support troubleshooting and root cause analysis of algorithmic or signal-quality issues observed in testing or manufacturing environments.
Collaborate with operations and test engineering teams to optimize production test algorithms and signal validation workﬂows.
Drive continuous improvement initiatives in algorithm robustness, noise immunity, and computational eficiency.

Qualiﬁcations Required

Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or related field.
3–5+ years of experience in signal processing, real-time algorithms, or embedded medical device software.
Demonstrated expertise in physiological signal processing, including filtering, feature extraction/classification, and/or noise/artifact removal.
Strong proficiency in Python, C/C++, or similar languages used for modeling and embedded implementation.
Working knowledge of machine learning techniques applied to time-series or sensor data (e.g. regression, classiﬁcation, anomaly detection).
Strong software development skills, including version control (Git) and basic software test methodologies.
Experience working under medical device software lifecycle processes (IEC 62304) and familiarity with ISO 13485 and ISO 14971.
Proven ability to validate algorithms using large datasets and statistical analysis techniques.
Strong communication skills with the ability to work across cross-functional hardware, firmware, clinical, and regulatory teams.

Preferred

Master’s degree or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, or related field.
Experience in designing classification, deep learning, or real-time physiological monitoring algorithms for optical (e.g. pulse oximetry), biopotential (e.g. ECG), and/or bioimpedance (e.g. EDA) vital signs monitoring (VSM) devices and applications.
Familiarity with wearable or ambulatory devices (Holter, patch monitors, chest straps).
A strong knowledge of systems physiology is a plus.
Experience optimizing algorithms for low-power or resource-constrained embedded systems.
Experience collaborating with external development partners or contract engineering teams.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $172,000 to $236,500.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

Senior Algorithms Engineer

Job Summary

Key Responsibilities

Design Transfer

Cross-functional & Technical Collaboration

Support, Debugging & Continuous Improvement

Qualiﬁcations Required

Preferred

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