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# Computer Vision Engineer

- **Company:** Alstom
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** 3d Models, 3D Scanning, Agile Methodology, Computer Vision, C++ (Programming Language), Computer Programming, Continuous Integration, Imaging Technology, Python (Programming Language), Computational Geometry, Image Acquisition, Data Processing, Gitlab, Git, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://www.buscojobs.com.es/computer-vision-engineer-en-barcelona-ID-371619944

## About the Role

This is a mission-driven opportunity to shape the future of mobility with advanced perception tech.Compensaciones / Beneficios - Define and select cameras, optics and lighting systems for railway inspection applications - Develop calibration strategies and optimize image acquisition processes - Process and reconstruct data from 3D cameras, laser sensors and other scanning technologies - Design and develop computer vision algorithms for automated inspection and measurement systems - Create solutions for point cloud filtering, segmentation, cleaning and 3D model analysis - Collaborate with multidisciplinary teams to deploy innovative inspection architectures in industrial environmentsResponsabilidades - Degree in Computer Science, Engineering, Physics, Mathematics or a related field - Experience in industrial computer vision and 3D reconstruction projects - Strong knowledge of camera calibration, point cloud processing, computational geometry and dimensional measurement algorithms

 - Professional programming experience with C++ and Python - Hands-on experience with MVTec HALCON and industrial imaging systems - Knowledge of optics, cameras, lenses and lighting technologies - Familiarity with Git, GitLab, CI/CD practices and Agile development methodologies - Strong analytical mindset, autonomy and problem-solving skillsRequisitos principales - stability and long-term career - collaborative environment - opportunity to work on innovative projects - investment in development and award-winning learning - competitive social coverage - dynamic reward package

## Description

Experteer Overview In this role you will contribute to TrainScanner, a leading railway inspection platform using 3D scanning, computer vision, and automated analysis.You collaborate with cross-functional teams to enhance railway safety through accurate digital reconstruction and intelligent inspection algorithms.Expect to tackle challenging problems in calibration, data processing, and 3D model analysis that scale in industrial environments.This is a mission-driven opportunity to shape the future of mobility with advanced perception tech.Compensaciones / Beneficios - Define and select cameras, optics and lighting systems for railway inspection applications - Develop calibration strategies and optimize image acquisition processes - Process and reconstruct data from 3D cameras, laser sensors and other scanning technologies - Design and develop computer vision algorithms for automated inspection and measurement systems - Create solutions for point cloud filtering, segmentation, cleaning and 3D model analysis - Collaborate with multidisciplinary teams to deploy innovative inspection architectures in industrial environmentsResponsabilidades - Degree in Computer Science, Engineering, Physics, Mathematics or a related field - Experience in industrial computer vision and 3D reconstruction projects - Strong knowledge of camera calibration, point cloud processing, computational geometry and dimensional measurement algorithms - Professional programming experience with C++ and Python - Hands-on experience with MVTec HALCON and industrial imaging systems - Knowledge of optics, cameras, lenses and lighting technologies - Familiarity with Git, GitLab, CI/CD practices and Agile development methodologies - Strong analytical mindset, autonomy and problem-solving skillsRequisitos principales - stability and long-term career - collaborative environment - opportunity to work on innovative projects - investment in development and award-winning learning - competitive social coverage - dynamic reward package


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