We are seeking a highly skilled and experienced Software Engineer to join our team.
Even the best of algorithms are worthless without excellent integration into practice. You drive the adoption of our deep learning models by seamlessly integrating them into the radiology workflow. Your role will be critical in ensuring the reliability, scalability and accessibility of our services, directly impacting the product's effectiveness in improving patients lives.
Enhance our AI integration into radiology systems (PACS, RIS, DICOM) to enable scaling up from hundreds to thousands of clinics
Implement and validate integrations with existing and new radiology systems
Integrate third-party medical products into our current product portfolio
Optimize for system stability, security and fast processing times within the medical regulatory frameworks
A degree in a relevant scientific (Computer Science, Software Engineering) discipline or equivalent experience in a related field
Strong knowledge in software engineering fundamentals
Proficiency working with Python, basic knowledge in Docker, Kubernetes, and the use of cloud platforms
A keen eye for detail and a commitment to scientific accuracy
Excellent english skills
Strong commitment to teamwork
Stack: Python (asyncio framework), FastAPI, Docker, DICOM
Good-to-have:
Experience working with DICOM and/or in the Radiology field is a big plus
Experience working with edge-deployed devices
We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.
Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.
We accelerate your learning with rapid feedback, weekly 1:1 sessions and inspiring problems.
We give you autonomy, flexibility and the opportunity to connect with our generation’s brightest minds.
We provide flexible remote team culture, company retreats and fair compensation.
Floy is on a mission to build the infrastructure for personalized health. Today, our AI products help radiologists to detect typically overlooked diseases. We envision a future where everybody can access annual holistic health assessments to prevent diseases through early detection.
Floy was founded in June 2021 and raised 8.8m€ total funding from Europe’s leading investors. Over the last months, the team grew to 45 exceptional people. Our pace only accelerates from here.