Software Engineer (Clinical AI Devices)

Join our Clinical AI Devices team as a Software Engineer. In this role, you will be responsible for building and maintaining software in the Clinical AI domain, integrating deep learning models into containerized medical devices, and ensuring compliance with quality and regulatory requirements. You will collaborate with the team on strategic recommendations and improvements to technology and business.

• Participate in the software development process, including design, development, and maintenance of features.
• Own features and projects end-to-end, from refinement to production, ensuring compliance with Quality and Regulatory requirements.
• Collaborate with the team on strategic recommendations and improvements to technology and business.

• Experience working with Agentic Coding tools like Claude and Cursor (preferred)
• Experience working with microservices and distributed systems (preferred)
• Fluent in English (required)
• Familiar with test-driven development and testing frameworks like JUnit (required)
• Accustomed to CI/CD practice (required)
• Bachelor's or Master’s Degree in a related field such as computer science, biomedical engineering or similar (required)
• Experience working with docker, cloud platforms such as GCP or AWS, and Kubernetes (required)
• At least 5 years of experience working with Java, with proficiency in Spring Boot (required)
• Experience in the MedTech field, e.g. working with DICOM data, AI algorithms, and clinical workflows (preferred)
• Experience (required): at least 5 years of experience in a similar or related relevant role
• Strong analytical mindset
• Ability to make well-reasoned trade-offs between velocity and quality, understanding when to work for higher quality and when to optimize for time-to-market
• Not afraid of working inside a strong regulatory framework and disciplined about testing needs
• You collaborate openly, support your colleagues, and contribute to shared success