Computer Vision Engineer

(French below)

The job offer is a real challenge but you will work at the heart of a small management team in total collaboration with the R&D department and clinicians. We strongly value the ethical aspect of the company and its employees. SURGAR is based in Clermont-Ferrand where the quality of life excels

SURGAR est une startup en pleine croissance qui travaille sur le développement de logiciels de réalité augmentée pour la chirurgie laparoscopique mini-invasive. SURGAR est lauréat du prestigieux concours i-Lab (meilleurs projets d'entreprise innovants) et lauréat de plusieurs appels à projets nationaux et internationaux. Elle dispose d’un partenariat avec un service de chirurgie reconnu internationalement et un laboratoire de vision par ordinateur leader dans son domaine.
- Develop computer vision algorithms dedicated to medical images (segmentation of medical images, motion tracking, 3D reconstruction and alignment of 3D objects with the real scene, etc.).
- Translate research work into functional prototypes that can be tested in real-life conditions with surgeons and other medical users.
- Collaborate closely with researchers, product development teams and healthcare professionals to test and refine solutions in a clinical environment.
- Work with SURGAR peers (peer-coding and reviewing) to design robust, modular software libraries that can be easily integrated into production systems.
- Participate in the integration of these algorithms into medical devices complying with regulatory requirements (2017/745 (EU MDR), FDA).
- Ensure that algorithms are validated in compliance with clinical, safety and performance requirements for medical devices.
- Participate in the publication of research results and technology watch on innovations in medical image processing.
- Contribute, with the clinical evaluation project team, to the experimentation process in real-life conditions: preparation of clinical trials, analysis of user feedback, adjustments to technical solutions.

Education and experience:

- Engineering degree or Master/PhD in computer science, computer vision, medical image processing or related field.
- Minimum 3 to 5 years experience in computer vision, possibly applied to the medical field.
- Proven experience in research and development applied to computer vision, with a strong ability to transform academic publications into concrete solutions.

Technical skills:

- Expertise in medical image processing (endoscopy, CT, MRI, ultrasound, X-ray, etc.) and in semantic segmentation, 3D reconstruction, object tracking, 2D and 3D registration.
- Experience in software development in Python or C++ for embedded or real-time systems.
- Ability to rapidly prototype research solutions and adapt them to clinical user feedback.
- Good understanding (desirable but not necessary) of standards and regulations specific to medical devices (ISO 13485:2016, 2017/745 (EU MDR), FDA).

Specific skills:

- Experience in optimizing models for constrained medical environments (limited hardware, real-time, critical accuracy).
- Familiarity with clinical testing processes, validation of algorithms in a medical environment, and management of user feedback (surgeons, radiologists, etc.).

Personal qualities:

- Excellent ability to collaborate with healthcare professionals, sensitive to the constraints and requirements of end-users (surgeons, radiologists).
- Excellent ability to collaborate with peers and colleagues.
- Autonomy, rigor and ability to work in a regulated and highly secure environment.
- Interest in technological innovations in the medical field and ability to translate medical challenges into technical solutions.

4+ years