PpEuropean Tech Recruit are working closely with a market leading 3D scanning company, based in Bressanone, who are looking for a talented b3D Computer Vision Engineer /b to join their team. /ppIn this role you will join a company that leverage state-of-the-art Computer Vision and Machine Learning algorithms to scan high quality, relightable 3D models of objects and products at scale. /ppYou will work on multi-camera calibration, feature-based reconstruction, and geometric optimization. Combining classical techniques with modern learned approaches to achieve sub-millimeter accuracy at production scale. /ppResponsibilities as b3D Computer Vision Engineer /b: /pulliDevelop and optimize geometric reconstruction modules: multi-camera calibration, feature extraction and matching, structure-from-motion. /liliImplement and tune optimization techniques (bundle adjustment, surface fitting, mesh refinement) for high-precision geometry. /liliIntegrate learned components—feature descriptors, depth priors, outlier rejection—into classical pipelines. /liliDevelop capture and calibration strategies that support downstream appearance and material reconstruction. /liliBuild robust point cloud and mesh processing workflows for cleaning, filtering, and topology repair. /liliWrite performant, maintainable code that scales across our production infrastructure. /liliWork with ML engineers, rendering specialists, and system developers to bridge classical and neural approaches. /liliEngage with enterprise clients to understand accuracy and performance requirements. /liliContribute to architectural decisions for scalable 3D processing. /li /ulpRequirements: /pulliStrong foundation in 3D vision and geometric computing, gained through a PhD or Master’s degree combined with 3+ years of industry experience. /liliStrong background in multi-view geometry: camera models, epipolar geometry, bundle adjustment. /liliExperience with SfM/SLAM pipelines or structured light systems. /liliProficiency in C++ and Python; comfort with performance-critical code. /liliFamiliarity with point cloud and mesh processing (Open3D, PCL, CGAL, or similar). /liliExperience with learned feature descriptors or neural depth estimation. /liliFamiliarity with differentiable optimization. /liliUnderstanding of appearance capture, light calibration, or inverse rendering fundamentals. /liliBackground in deformable geometry or non-rigid reconstruction. /liliExperience with camera/projector calibration or photogrammetry pipelines. /liliFamiliarity with CUDA or GPU-accelerated geometry processing. /liliContributions to open-source 3D vision projects. /li /ulpIf this role is of any interest please apply directly on LinkedIn or send a copy of your CV to /ppBy applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( /p /p #J-18808-Ljbffr