Software Engineer, Clinical AI Devices

About the role

The Software Engineer in the Clinical AI Devices team is responsible for building and maintaining software that integrates deep learning models into containerized medical devices. This role focuses on the interface between product logic and the serving platform, ensuring accurate request validation, routing, and result assembly across radiology modalities like X-Ray, CT, MRI, and Mammography. The engineer will own features end-to-end while ensuring compliance with medical quality and regulatory standards.

Responsibilities

• Participate in the software development process including design, development, and maintenance of features.
• Write and review code while contributing to automated and manual testing frameworks.
• Collaborate with team leads and product managers to refine requirements.
• Own features and projects end-to-end from refinement to production.
• Flag risks and bugs while considering the radiologist's workflow.
• Support service and delivery teams with production issues.
• Ensure compliance with Quality and Regulatory requirements including technical documentation and cybersecurity processes.
• Collaborate on strategic recommendations for technology and business improvements.

Required skills

• Java
• Spring Boot
• CI/CD
• Test-driven development
• JUnit
• Docker
• GCP
• AWS
• Kubernetes

Nice to have

• Agentic Coding tools
• Claude
• Cursor
• Microservices
• Distributed systems
• MedTech
• DICOM
• AI algorithms

Qualifications

• Bachelor's or Master’s Degree in computer science, biomedical engineering or a related field
• At least 5 years of experience in a similar or related relevant role