3D Computer Vision Engineer
Pubblicato il 25-09-2026 - European Tech Recruit in Bressanone
European Tech Recruit are working closely with a market leading 3D scanning company, based in Bressanone, who are looking for a talented 3D 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 3D 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 3D 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 3D processing.
Requirements:
- Strong foundation in 3D vision and geometric computing, gained through a PhD 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 SfM/SLAM pipelines or structured light systems.
- Proficiency in C++ and Python; comfort with performance-critical code.
- Familiarity with point cloud and mesh processing (Open3D, PCL, CGAL, or similar).
- 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 3D vision projects.
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to (email hidden).
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