Senior/Lead Computer Vision Engineer

Spyrosoft is a software engineering company established in 2016, recognized as one of the fastest growing technology companies in Europe in 2021 and 2022 by the Financial Times. The company specializes in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries.

• At least 3 years of experience developing deep learning models and computational geometry algorithms
• Experience deriving measurements and features from 3D segmentations
• Strong software development skills, especially in Python
• Background in medical image analysis (CT, MRI, ultrasound, or similar modalities)
• Experience with 3D data processing, mesh handling, and geometric feature extraction
• Hands-on experience with frameworks and libraries such as NumPy, SciPy, and PyTorch
• Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies
• Ability to work effectively in cross-functional teams
• Strong communication skills and proactive approach

Nice to have:

• Experience with TypeScript
• Familiarity with AWS-based cloud environments and products
• Experience with VTK or similar 3D visualization and processing frameworks
• Understanding of medical software development processes and standards
• Research background or interest in advanced AI and imaging methods

• Develop algorithms combining deep learning, computational geometry, and medical imaging
• Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant workflows
• Design, train, and validate deep learning models and geometry-based methods for integration into a cloud-based healthcare platform
• Collaborate with Product and Engineering teams to translate clinical and business needs into robust algorithm designs
• Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical software development standards
• Continuously improve algorithm accuracy, robustness, and computational efficiency
• Contribute to research activities and exploration of new methods in AI and medical imaging

The projects start on 15.06.2026.