Senior Software Engineer

Sci-Rec; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A pioneering medical technology organization in Madrid seeks a Senior Software Engineer to lead the development of advanced signal post-processing software solutions. The ideal candidate holds a PhD and has expertise in signal processing, with proficiency in scientific programming languages. You will work with interdisciplinary teams to enhance algorithms for real-time diagnostics and translate complex signal data into meaningful clinical outcomes. Join us to innovate and improve patient care through cutting-edge technology.

Formación

• Proven expertise in developing algorithms for electromagnetic signals.
• Strong background in signal analysis techniques such as filtering.
• Ability to interpret complex and large-scale datasets.

Responsabilidades

• Lead development and deployment of signal post-processing software.
• Collaborate with teams to integrate signal processing techniques.
• Analyze datasets generated by electromagnetic interactions.

Conocimientos

Signal processing expertise

Data analysis from medical devices

Scientific programming (Python, MATLAB, C++)

Educación

PhD in relevant field

Descripción del empleo

About Us :

Our client is a pioneering organization in the medical technology space, dedicated to transforming patient care through innovative devices that improve quality of life worldwide. Their focus is on developing advanced medical technologies that monitor metallic medical implants, and are currently looking to expand the team with a Senior Software Engineer.

Position Overview

We are seeking a software engineer with a PhD in a relevant field to join a highly skilled R&D team. In this role, you will lead the design and implementation of signal post-processing software solutions that analyze electromagnetic signals interacting with implanted metallic coronary stents. Your work will be central to refining and developing algorithms for processing complex signal data, ensuring accuracy and performance for real‑time, point‑of‑care diagnostics.

The ideal candidate will have a strong foundation in signal processing and experience handling data from medical devices. Expertise in telecommunications engineering or applied mathematics is highly desirable, though not essential.

Key Responsibilities

• Lead the development, optimization, and deployment of advanced signal post-processing software tools for analysing electromagnetic signals from implanted coronary stents and translating them into clinically meaningful outcomes.
• Collaborate with interdisciplinary teams of engineers, biomedical specialists, and data scientists to refine and integrate signal processing techniques into broader biomedical device systems.
• Analyse and interpret large, complex datasets generated by interactions between electromagnetic fields and metallic implants, identifying patterns, interference, and signal distortions.
• Develop innovative solutions to reduce noise, enhance signal clarity, and ensure reliable data extraction in challenging environments.
• Stay current with advancements in signal processing, biomedical engineering, and relevant telecommunications techniques to improve existing methodologies.

Requirements (Must-Have)

• PhD in Signal Processing, Biomedical Engineering, Telecommunications Engineering, Applied Mathematics, Physics, or a related field.
• Proven expertise in developing and optimizing post‑processing algorithms for electromagnetic signals.
• Strong background in signal analysis techniques such as filtering, time‑frequency analysis, and noise reduction.
• Proficiency in scientific programming languages (e.g., Python, MATLAB, or C++) for algorithm development and data analysis.
• Demonstrated ability to work with and interpret complex, large‑scale datasets, particularly those involving interactions between electromagnetic fields and metallic structures.

Preferred Qualifications (Not Mandatory)

• Experience working with biomedical signals, particularly those related to metallic medical implants (e.g., pacemakers, prosthetics, stents).
• Background in telecommunications engineering with expertise in wireless signal interference, multipath effects, and related challenges.
• Experience with machine learning or AI techniques applied to signal processing and biomedical data.
• Knowledge of medical device regulatory standards and relevant electromagnetic safety protocols.