Senior Algorithms Engineer

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.

Digital Healthcare | Analog Devices

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 differentiators 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 a 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.

• 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, efficiency, 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 efficiency.

• 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…