Jobs / Virtonomy.io

Data & Software Engineer

Virtonomy.io · Greater Munich Metropolitan Area
Visa: unknownSalary: unknownWork mode: unknown
Skills
ci/cddockerpython

Description

Data & Software Engineer


Application: To apply, please submit your CV and a cover letter detailing your experience and motivation to careers@virtonomy.io. For more information, feel free to contact us.


Virtonomy is an innovative company based in Munich, dedicated to revolutionizing medical device development through simulation-driven design. Our mission is to accelerate time-to-market and improve patient safety by creating a digital twin for medical devices, utilizing real-world patient data and advanced computational techniques.


As we embark on an exciting growth phase and expand our market presence, we’re seeking a dedicated and motivated Data & Software Engineer (m/f/d) to join us in our Munich office on this transformative journey.


Key Responsibilities:


- Develop and maintain the Python SDK for our computer vision pipeline, including:

  - Image segmentation

  - Landmark detection

  - Measurement extraction based on landmarks

- Design, implement, and optimize CI/CD workflows for reliable software releases

- Build automated data mining and parsing solutions for streamlined data processing

- Establish robust quality control checkpoints throughout the data pipeline

- Develop and maintain patient data deployment pipelines with integrated quality inspection

- Manage and maintain structured or non-structured databases for medical data

- Uphold software quality standards through code reviews and best practices

- Contribute to backend development for clinical applications

- Support fellow engineers by automating manual workflows and tasks, acting as an infrastructure specialist to enhance team productivity and efficiency


Required Skills & Expertise:


- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience and knowledge

- Advanced proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn)

- Skilled in leveraging AI coding tools to enhance productivity

- Highly efficient and organized in software development workflows

- Strong team player with excellent collaboration skills

- Experience with container-based environments and workflows (e.g., Docker, Podman) to ensure reproducible development and deployment

- Proven ability to design and implement CI/CD pipelines

- Adaptable to various databases, data types, and libraries

- Quick to learn and apply new technologies and tools

- Excellent problem-solving skills, attention to detail


Mindset & Attitude:


- Thoughtful & Decisive: You work quickly but ensure decisions are well-considered and discussed with the team.

- Autonomous & Proactive: You take initiative, identify new challenges, and drive projects from concept to completion.

- Collaborative Team Player: You enjoy working closely with engineers and domain experts from diverse backgrounds, communicating solutions clearly and effectively.


Why Join Us?


As a Medical Computer Vision Engineer at Virtonomy, you'll play a pivotal role in the development of cutting-edge medical imaging solutions. You'll have the opportunity to contribute to groundbreaking projects, work with a diverse team of experts, and make a tangible impact on healthcare innovation. Help us shape the future of medical device design and improve patient outcomes worldwide.


Preferred Starting Date: As soon as possible


Preferred Location: Munich, Germany but open to discussion.


Application: To apply, please submit your CV and a cover letter detailing your experience and motivation to careers@virtonomy.io. For more information, feel free to contact us.


By doing so, you consent to sharing your personal data with us in accordance with all applicable privacy regulations, including GDPR, and that we may use this data for purposes of evaluating your candidacy for this and any relevant future roles with us. You may opt out of this consent by informing us in writing at any time.


Job Type: Full-time


  • Work Location: Hybrid remote in 80336 Munich, Germany
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