ML Software Engineer - Medical Devices

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.

The challenge:

• 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.

Do you have experience in TensorFlow?, * 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.

We design and create pioneering tools that unlock imaging data to improve patient outcomes. We use AI to help detect pathologies in oncology, rheumatology and neurology. Quibim specializes in tissue profiling every body part and imaging modality, developing novel quantitative imaging biomarkers to deeply analyze disease mechanisms, advancing in drug discovery and monitoring treatment progress. Using the power and promise of quantified imaging data and AI, Quibim makes precision medicine a reality. Quibim is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, religion or belief, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, marital status or any other characteristic. Quibim culture ensures a fair treatment and opportunity for all.   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.