Staff Algorithm & Software Engineer

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 Summary

We are seeking a hands-on and experienced Algorithm & Software Engineer to lead the design, development, and optimization of ECG‑focused signal‑processing algorithms and embedded software for medical devices. This role is critical in ensuring accurate physiological signal interpretation, robust algorithmic performance across diverse clinical conditions, and successful Design Transfer of algorithmic and software components into production systems.

The ideal candidate has strong foundations in biomedical signal processing—especially ECG—proven experience developing algorithms for real-time or near–real-time systems, and a solid understanding of medical device regulatory frameworks (IEC 62304, ISO 13485). This role requires close collaboration with clinical, software, hardware, firmware and QA/RA teams to ensure algorithms and software are validated, reliable, and ready for production deployment.

Key Responsibilities

Algorithm Development & Signal Processing

• Lead the design, implementation, and optimization of ECG signal‑processing algorithms, including filtering, beat detection, arrhythmia classification, noise/artifact handling, and feature extraction.
• Develop robust algorithms suitable for embedded systems, wearable devices, or low‑power medical hardware.
• Analyze diverse ECG datasets (clinical and device-generated) to ensure algorithm reliability across patient populations and physiological conditions.
• Conduct algorithm performance benchmarking, parameter tuning, and validation against industry standards (e.g., AAMI EC57).

Software Engineering & Design Transfer

• 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.

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.

Quality, Compliance & Documentation

• Develop and maintain detailed documentation for algorithms, software modules, test plans, and validation reports.
• Ensure that all software and algorithm development activities comply with relevant regulatory standards (IEC 62304, ISO 13485, ISO 14971).
• Contribute to risk analysis activities focusing on algorithmic accuracy, edge cases, clinical safety, and potential failure modes.

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 efficiency.

Qualifications

Required

• Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or related field.
• 7–10+ years of experience in signal processing, real‑time algorithms, or embedded medical device software.
• Demonstrated expertise in ECG signal processing, including filtering, R‑peak detection, HRV analysis, noise/artifact removal, or arrhythmia classification.
• Strong proficiency in Python, C/C++, or similar languages used for modeling and embedded implementation.
• 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 with machine-learning–based ECG classification, deep learning, or real‑time physiological monitoring.
• Familiarity with wearable or ambulatory ECG devices (Holter, patch monitors, chest straps).
• Experience optimizing algorithms for low‑power or resource‑constrained embedded systems.
• Experience collaborating with external development partners or contract engineering teams.

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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.