3D Computer Vision Engineer

European Tech Recruit; Bressanone; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading 3D scanning company based in Bressanone is seeking a talented 3D Computer Vision Engineer to join their team. The role involves developing geometric reconstruction techniques, optimizing workflows, and collaborating with ML engineers. Applicants should have a strong foundation in 3D vision through a relevant degree and industry experience, and be proficient in C++ and Python. This position may involve client engagement and technical decision-making, providing a unique opportunity to influence innovative workflows.

Competenze

• Strong foundation in 3D vision and geometric computing, through a PhD or Master’s degree plus 3+ years of industry experience.
• Strong background in multi-view geometry including camera models and bundle adjustment.
• Experience with SfM/SLAM pipelines or structured light systems.
• Proficiency in C++ and Python; able to write performance-critical code.
• Familiarity with point cloud and mesh processing tools (Open3D, PCL, CGAL).
• Experience with learned feature descriptors or neural depth estimation.
• Familiarity with differentiable optimization.
• Understanding of appearance capture and light calibration.

Mansioni

• Develop and optimize geometric reconstruction modules, focusing on multi-camera calibration.
• Implement optimization techniques for high-precision geometry.
• Integrate learned components into existing workflows.
• Develop strategies for capture and calibration supporting downstream processes.
• Build robust workflows for point cloud and mesh processing.
• Write maintainable code that scales across production infrastructure.
• Collaborate with ML engineers and rendering specialists to unify approaches.
• Engage with clients to determine performance requirements.

Conoscenze

3D vision and geometric computing

Multi-view geometry

C++

Python

Point cloud processing

Neural depth estimation

Formazione

PhD or Master’s degree in a related field

Strumenti

Open3D

PCL

CGAL

Descrizione del lavoro

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 [e-mail].

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