3d computer vision engineer

3 D Computer Vision Engineer European Tech Recruit are working closely with a market leading 3 D scanning company, based in Bressanone, who are looking for a talented 3 D Computer Vision Engineer to join their team. In this role you will join a company that leverage state-of-the-art Computer Vision and Machine Learning algorithms to scan high quality, relightable 3 D models of objects and products at scale. You 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. Responsibilities as 3 D Computer Vision Engineer:

Develop and optimize geometric reconstruction modules: multi-camera calibration, feature extraction and matching, structure-from-motion. Implement and tune optimization techniques (bundle adjustment, surface fitting, mesh refinement) for high-precision geometry. Integrate learned components—feature descriptors, depth priors, outlier rejection—into classical pipelines. Develop capture and calibration strategies that support downstream appearance and material reconstruction. Build robust point cloud and mesh processing workflows for cleaning, filtering, and topology repair. Write performant, maintainable code that scales across our production infrastructure. Work with ML engineers, rendering specialists, and system developers to bridge classical and neural approaches. Engage with enterprise clients to understand accuracy and performance requirements. Contribute to architectural decisions for scalable 3 D processing.

Requirements:

Strong foundation in 3 D vision and geometric computing, gained through a Ph D or Master's degree combined with 3+ years of industry experience. Strong background in multi-view geometry: camera models, epipolar geometry, bundle adjustment. Experience with Sf M/SLAM pipelines or structured light systems. Proficiency in C++ and Python; comfort with performance-critical code. Familiarity with point cloud and mesh processing (Open3 D, PCL, CGAL, or similar).

Desirable Experience:

Experience with learned feature descriptors or neural depth estimation. Familiarity with differentiable optimization. Understanding of appearance capture, light calibration, or inverse rendering fundamentals. Background in deformable geometry or non-rigid reconstruction. Experience with camera/projector calibration or photogrammetry pipelines. Familiarity with CUDA or GPU-accelerated geometry processing. Contributions to open-source 3 D vision projects.

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