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Quibim

Machine Learning Software Engineer, Medical Devices

Valencia, Spain Madrid, Spain
Python Docker DICOM C++ API TensorFlow PyTorch Git
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Description

ML Software Engineer – Medical Devices

Department: Technology & Innovation

Employment Type: Permanent employee

Schedule: Full-time

Seniority: Experienced

Location: Valencia, Madrid, Barcelona

We are looking for a Python Software Engineer to join our technology team and contribute to the development of our medical devices and medical device software platform. This role involves working across multiple layers of our system, including device software, integration services, and supporting tools used to connect our medical devices with OEMs and external systems.
You will report to the VP of Technology, with day-to-day technical guidance from the Director of Engineering, and collaborate closely with a multidisciplinary engineering team.
  • Design, develop, and maintain Python-based software for medical devices and supporting systems.
  • Contribute to device software and system-level components such as integration and connectivity services, orchestration layers, and supporting tools.
  • Work with medical imaging standards (especially DICOM).
  • Participate in software architecture discussions, contributing to modular, scalable, and maintainable designs.
  • Collaborate with QARA, system engineering, and product teams throughout the development lifecycle.
  • Write technical documentation, and support verification and validation activities.
  • Develop, test, and deploy applications on Linux-based platforms.
  • Strong experience with Python (must)
  • Experience with containerization, especially Docker and Docker Compose (must)
  • Background in medical device software or other regulated software environments (strong plus)
  • Knowledge of DICOM and medical imaging workflows (strong plus)
  • Familiarity with CI/CD pipelines, static code analysis, and automated testing
  • Working knowledge of C++ (reading, debugging, or extending existing code)
  • Understanding of software architecture principles (design drivers, patterns, APIs, modularity, distributed systems)
  • Familiarity with AI/ML Python frameworks such as TensorFlow or PyTorch, primarily from an integration and usage perspective
  • Comfortable working in Linux environments
  • Solid experience using Git
  • Familiarity with Git-based version control frameworks (Bitbucket, ideally) and structured workflows such as Gitflow
  • Advanced level of English.
  • Experience working in collaborative, cross-functional teams
  • Strong teamwork and communication skills
  • Ability to take ownership while working under technical leadership
  • Detail-oriented, quality-driven mindset appropriate for medical and safety-critical software
  • Adaptability and eagerness to learn in a growing technical environment
  • Integrity and proactivity.
Quibim
Quibim

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