Senior Embedded Software Engineer + Cloud computing; Biomedical

Puesto: Senior Embedded Software Engineer + Cloud computing (Biomedical Experience)
## Senior Embedded Software Engineer + Cloud computing (Biomedical Experience)
Apply locations:
Spain, Valencia, Cortes Valencianastime type:
Full time posted on:
Posted Todayjob requisition :
R263846
** 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, 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.

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** 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
** Qualifications
* *** Required
* ** 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**, including filtering, R‐peak detection, HRV analysis, noise/artifact removal, or arrhythmia classification.
* Strong proficiency in
** Python**,
** C/C++**, or similar languages used for modelling and embedded…