Data & Software Engineer; m​/f​/d

(Application only accepted via careers)

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.

• 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

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience and knowledge
• Advanced proficiency in Python and its libraries (e.g., Num Py, 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
• Autonomous & Proactive:
  Able to take initiative, identify new challenges, and drive projects from concept to completion.
• Passionate About Innovation:
  Stays updated with the latest advancements in medical imaging and computer vision research, with a curiosity-driven mindset.
• Collaborative Team Player:
  Enjoys working closely with engineers and domain experts from diverse focus areas while communicating solutions clearly and effectively.

• An international and very motivated team with high performance and a cooperative mindset
• A high degree of responsibility and extensive creative opportunities from day one with short decision-making processes
• A future-oriented business with high impact in the medical domain
• With us there are many career paths and development opportunities for you, what you can’t do yet, you can learn with us!
• Flexible working hours & home office possible

As a Data & Software 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.

To apply, please submit your CV and a cover letter detailing your experience and motivation to careers. 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

(Application only accepted via careers)

We are looking forward to your application!

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.