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
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).
Job SummaryThe 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 ResponsibilitiesAlgorithm 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.
- 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.
- 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 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.
- 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.
- 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: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/DaysThe 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.
Skills 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
- Strong proficiency in Python, C/C++, or similar languages
- Working knowledge of machine learning techniques applied to time-series or sensor data
- Strong software development skills, including version control (Git)
- Experience working under medical device software lifecycle processes (IEC 62304)
- Proven ability to validate algorithms using large datasets
- Strong communication skills with the ability to work across cross-functional teams
- Master's degree or Ph.D. in relevant field (preferred)
- Experience in designing classification or real-time physiological monitoring algorithms (preferred)
- Familiarity with wearable or ambulatory devices (preferred)
Analog Devices Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.
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Retirement Support — The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
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Healthcare Strength — Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
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Leave & Time Off Breadth — Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.
Analog Devices Insights
What We Do
Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.
