(Senior) Computer Vision Engineer

B. Braun New Ventures GmbH
Freiburg im Breisgau, Germany
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

3D Visualization Artificial Intelligence Computer Vision Automation of Tests Microsoft Azure C++ (Programming Language) Software Quality Code Review Continuous Integration Software Design Patterns Linux DevOps
+14 more
Medical Software Image Registration Python (Programming Language) Machine Learning OpenCV Scrum Methodology Software Architecture Software Engineering Pytorch Git Integration Tests Information Technology Production Code Programming Languages

Job description

We are looking for a (Senior) Computer Vision Engineer (f/m/d) to join our team in Freiburg . As part of an interdisciplinary and innovation-driven environment, you will work on cutting-edge technologies such as machine learning-based instrument tracking, camera calibration, 3D visualization, image-guided surgery, and real-time navigation systems. In this role, you will make a direct impact on the development of next-generation medical products used in operating rooms worldwide., * You design and develop software for a digital surgery platform encompassing computer vision, artificial intelligence, medical imaging, and surgical navigation

  • Your tasks span from developing early-stage prototypes to creating production-ready medical device software
  • You contribute to computer vision pipelines including camera calibration, 3D reconstruction, image registration, object and instrument tracking, and machine learning-based perception
  • You create robust, maintainable, and scalable software solutions by translating research concepts into high-quality products
  • You ensure high software quality by applying unit and integration test methodologies, performing code reviews, and supporting continuous integration practices
  • You work in a scrum team collaborating with software developers, software architects, system engineers, AI researchers, UX engineers, quality engineers, and product owners
  • You contribute to technical design decisions, software architecture, and technology evaluations
  • You support verification, validation, and documentation activities in compliance with medical software standards and regulations

Requirements

  • M.Sc. or PhD in Computer Science, Computer Vision, Machine Learning, Robotics, Medical Imaging or a related field
  • Several years of industrial or research experience developing computer vision or machine learning applications
  • Strong software engineering skills and experience delivering high-quality production code
  • Experience developing complex software systems in C++ and/or Python
  • Quickly embracing new technologies and different programming languages
  • Technologies and topics we currently work with include OpenCV, VTK, PCL, PyTorch, ROS2, Git, Azure DevOps, Linux, computer vision, machine learning, camera calibration, and 3D geometry
  • Experience with software design patterns, CI/CD, DevOps practices, and automated testing
  • Experience with computer vision topics such as pose estimation, tracking, SLAM, image registration, or multi-view vision

Personal competencies

  • You are self-motivated with a hands-on and proactive mentality
  • You have an innovative mindset with enthusiasm for high-tech medical products and digital surgery solutions
  • You combine scientific curiosity with a product-oriented mindset
  • You enjoy solving challenging technical problems at the interface of software, AI, and medical technology
  • You thrive in interdisciplinary teams and communicate effectively with technical and non-technical stakeholders
  • You communicate professionally in English. German language skills would be a plus

About the company

At B. Braun New Ventures, we are shaping the future of digital surgery by combining computer vision, artificial intelligence, medical imaging, and surgical navigation to improve patient outcomes and transform surgical workflows.

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