Senior Embedded Software Engineer + Cloud computing; Biomedical

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that brings analog, digital, AI, and software technologies together to empower breakthroughs at the Intelligent Edge. With more than $11 billion in revenue in FY25, ADI drives advancements in automation, robotics, mobility, healthcare, energy, and data centers while targeting climate‑change solutions.

We are seeking a hands‑on Algorithm & Software Engineer to lead the design, development, and optimization of ECG‑focused signal‑processing algorithms and embedded software for medical devices. The role is critical for accurate physiological signal interpretation, robust performance across diverse clinical conditions, and successful design transfer into production.

• Lead 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 ECG datasets from clinical and device sources to ensure algorithm reliability across patient populations and physiological conditions.
• Conduct performance benchmarking, parameter tuning, and validation against industry standards (e.g., AAMI EC57).
• Implement algorithms in production‑quality code (embedded C/C++, Python, or equivalent) and support design transfer of modules into firmware and cloud‑based systems.
• Participate in software architecture decisions, ensuring alignment with IEC 62304 development processes.
• Serve as 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 align signal acquisition hardware with algorithm design.
• Work with QA/RA and clinical teams to support documentation, traceability, and regulatory submissions.
• Develop and maintain detailed documentation for algorithms, software modules, test plans, and validation reports.
• Ensure compliance with regulatory standards (IEC 62304, ISO 13485, ISO 14971).
• Contribute to risk analysis activities focusing on algorithmic accuracy and edge conditions.

• Bachelor’s degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or related field.
• 5+ years of experience in signal processing, real‑time algorithms, or embedded medical device software.
• Demonstrated expertise in ECG signal processing (filtering, R‑peak detection, HRV analysis, noise/artifact removal, or arrhythmia classification).
• Strong proficiency in Python, C/C++, or similar languages 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 and ability to collaborate across hardware, firmware, clinical, and regulatory teams.
• Preferred:
  Master’s or Ph.D. in a related field.
• Preferred:
  Experience with AI/machine‑learning–based ECG classification, deep learning, or real‑time physiological monitoring.
• Preferred:
  Familiarity with wearable or ambulatory ECG devices (Holter, patch monitors, chest straps).
• Preferred:
  Experience optimizing algorithms for low‑power or resource‑constrained embedded systems.
• Preferred:
  Experience collaborating with external development partners or contract engineering teams.

For positions requiring access to technical data, Analog Devices, Inc. may need export licensing approval from the U.S. Department of Commerce or the U.S. Department of State. Applicants (except U.S. Citizens, U.S. Permanent Residents, and protected individuals) may have to undergo a licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed, regardless of race, color, religion, age, ancestry, national origin, gender, sexual orientation, marital status, pregnancy, parental status, disability, medical condition, military or veteran status, union membership, or any other legally protected characteristic.

Job Req Type:
Experienced|Required Travel:
Yes (10% of the time) | Shift Type: 1st Shift/Days