Analog Devices
Senior Algorithms Engineer
US, MA, Wilmington · Senior
Sponsorship not specified$117k-$161kDetected 28 days ago
PythonC++AlgorithmsGitMachine LearningDeep LearningData AnalysisData ScienceStatisticsRoboticsElectrical EngineeringSignal ProcessingMedical DevicesCommunicationCollaboration
About the role
- 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.
- 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.
Responsibilities
- Take ownership of the design, implementation, and optimization of algorithms, from concept through prototyping and performance evaluation.
- 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.
- 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.
Requirements
- Qualifications Required
- Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or related field.
- Strong proficiency in Python, C/C++, or similar languages used for modeling and embedded implementation.
- Master's degree or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, or related field.
Compensation
- $117k-$161k
Benefits
- Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability.
- 3-5+ years of experience in signal processing, real-time algorithms, or embedded medical device software.
- Working knowledge of machine learning techniques applied to time-series or sensor data (e.g. regression, classification, anomaly detection).
- Experience working under medical device software lifecycle processes (IEC 62304) and familiarity with ISO 13485 and ISO 14971.
Equal opportunity
- Notice of Applicant Rights Under the Law.
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