Software Engineer, Clinical AI Devices

Full-timeHybrid
Hybrid France · France · Amsterdam / Rotterdamvia DeepHealth CareersPosted Oct 6, 2026
Match with my CV

Technical skills

Data scienceManual testingCybersecurityTechnical writing

Methods

Product management

Role signals

Legal

About this role

Job Summary

In the Clinical AI Devices team, the Software Engineer is primarily responsible for building and maintaining software in the Clinical AI domain, from wrapping deep learning models into containerized medical devices, to integration with other systems. This work spans all of the company's medical devices, across the main radiology modalities: X-Ray, CT, MRI, and Mammography.

The focus of the current role is at the interface between product logic and the underlying serving platform, ensuring that requests are correctly validated, routed, and that results are properly assembled and returned.

Essential Duties and Responsibilities

  • Participate in the software development process: design, refine, and develop new features, and maintain existing ones.
  • Write code, review teammates' code, and contribute to the testing framework through automated and manual tests. Work with the team lead and product manager to refine requirements.
  • Own features and projects end-to-end, from refinement to production. Flag risks and bugs by keeping the radiologist's workflow in mind. Support service and delivery teams with production issues.
  • Ensure compliance with Quality and Regulatory requirements throughout the development cycle, including technical documentation (e.g. implementation specs), cybersecurity processes, and risk analysis.
  • Collaborate with the team on strategic recommendations and improvements to technology and business.

PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned, and management retains the right to add or change duties at any time.

Before you apply

  • 1Which parts of your CV prove experience with Data science, Manual testing, and Cybersecurity?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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