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

FUSE-AI; Hamburg; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

FUSE-AI, a dynamic eHealth company in Hamburg, seeks a Senior Research Engineer for computer vision and surgical navigation. You will design and implement registration and real-time data processing, building ML/DL models for MRI and other imaging tasks.

You’ll refine software components and validate approaches while collaborating in an interdisciplinary team. Require strong C++ performance skills, Python and AI frameworks, Linux experience and fluency in German/English.

Qualifikationen

• A degree in (technical) computer science, medical engineering, robotics, physics or similar.
• Extended experience in computer vision / image processing / 3D perception.
• Hands-on ML/DL using established methods in practice.
• Experience with medical image analysis and image registration.
• Strong real-time, performance-critical C++ development.
• Proficiency in Python and AI frameworks.
• Linux-based infrastructure experience.
• Familiar with OpenCV, ITK/VTK, PyTorch.
• Experience with image/depth/spectral data processing.
• Software engineering with Git; agile project practices.

Aufgaben

• Design and develop surgical navigation software with registration and real-time data processing.
• Develop ML/DL approaches for MRI and other medical imaging domains from design to deployment.
• Plan, implement and integrate software components.
• Feasibility analyses for CV/AI/robotic assistance and solution strategies.
• Support tool/framework selection to improve development and deployment.
• Evaluate and validate developed approaches; further optimize products/projects.
• Self-study of state-of-the-art knowledge.

Kenntnisse

C++

Python

Linux

OpenCV

ITK/VTK

PyTorch

Git

German

English

Ausbildung

Degree in computer science / engineering / robotics

Medical imaging knowledge

Tools

Jira

MS Project

Jobbeschreibung

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

24 Aug 2026

As a young and dynamic eHealth 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. OpenCV, ITK/VTK, PyTorch)
• 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.