Senior Research Engineer - Computer Vision & Surgical Navigation (m/f/d)

As a young and dynamic e Health company, FUSE-AI pursues the goal of improving medical care with innovative AI-based software products.

Building on our established medical imaging solutions, we are developing navigation and assistance systems for the next generation of precision surgery.

At FUSE-AI, we work together in an interdisciplinary team of data scientists, machine learning engineers, Q&R experts and scientists for the use of AI solutions in medicine.

• What Sets Us Apart
• Work culture: We are a team with flat hierarchies and a friendly atmosphere.
• Work-life balance: We support your professional development and enable you to take part in specialist events, for example.
• Top location: We offer you state-of-the-art technology in a bright office atmosphere between the town hall and the Michel with subway, S-Bahn and bus right outside the door.

Job Description

• Design and development of surgical navigation software, including registration and real-time data processing
• Development of machine learning / deep learning approaches for MRI and other medical imaging domains, from model design to deployment
• Planning, implementation and integration of software components
• Feasibility analyses of problems regarding computer vision, artificial intelligence and robotic assistance, and the development of suitable solution strategies
• Support in the selection and integration of suitable tools, frameworks and technologies to improve our development and deployment
• Systematic evaluation and validation of developed approaches, as well as further development and optimization of our products/projects
• Independent study of state of the art knowledge
• Qualification and Competences
• A successfully completed degree in (technical) computer science, medical engineering, robotics, physics or a comparable scientific discipline.

If academic qualifications or further education are not sufficient to demonstrate software engineering, programming and development-related skills, evidence of an equivalent level needs to be demonstrated.

• Several years of experience in computer vision / image processing / 3D perception
• Experience in machine learning / deep learning as a confident user of established methods
• Experience with medical image analysis and image registration
• Proficiency in real-time, performance-critical software development, in particular C++
• Experienced in Python and AI-related frameworks
• Experience in working on Linux-based infrastructure
• Knowledge in common computer vision and imaging libraries (e. g. Open CV, ITK/VTK, Py Torch)
• Experience with processing of image, depth or spectral data
• Proficiency in software engineering in collaboration with Git
• Competent in concepts for software development procedures, agile project development methodologies and project management (e. g. Jira, MS Project, etc.)
• Competent in requirement engineering regarding to usability and clinical indication
• Good communication in balance with respect, kindness and feedback culture
• Hands-on mentality and problem-solving mindset in accordance with best practice and requirements
• Independent structured manner of working and interest in collaboration and further development in an interdisciplinary team
• Proficiency in German and English communication
• Nice-to-haves
• Knowledge and understanding of medical and clinical workflows, ideally in the context of surgical navigation or image-guided surgery (e. g. 3D Slicer, MITK, IGSTK)
• Experience with medical image segmentation
• Experience with robotics software frameworks
• Knowledge of medical device regulations (EU MDR, FDA, ISO, etc.)

The INTEGER project is funded by the Federal Ministry of Research, Technology and Space.

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