Back to listings
European Tech RecruitItaly

3D Computer Vision Engineer

Description

3D Computer Vision Engineer

Recruitment Consultant Nathan Hampson

Contact Details [ inquiries@consultant.dev](mailto: inquiries@consultant.dev) [+44 (0) XXX-XXX-XXXX](tel:+44 (0) XXX-XXX-XXXX)

Posted 4 days ago

3D Computer Vision Engineer

We are looking for a 3D Computer Vision Engineer to develop the geometric backbone of our scanning technology. 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.

This role is for engineers who love the elegance of projective geometry but aren’t afraid to integrate neural components where they outperform classical methods. If you want to build 3D systems that power tens of thousands of assets for the world’s leading brands, this is for you.

Key Responsibilities

Development of 3D Pipeline Components

  • 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.

Collaboration

  • 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.

Qualifications

Required:

  • 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).

Nice to Have:

  • 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.

Industry AI & Machine Learning

Contract Type Permanent

Location Italy

City Bressanone

Work Model On-Site

By applying to this role, you acknowledge that we may collect, store, and process your personal data on our systems.

For more information, please refer to our

Name

Email

Phone

Location

Message

:

Choose file

Formats: Word, PDF (max. size: 20MB)

Subscribe for industry highlights.

Send Application

Other relevant jobs

Embedded Systems

Wireless & IoT

Industry 4.0 & Robotics

Looking for tech jobs in the US?

European Tech Recruit Head Office

39 Upper Gardner Street

Brighton, BN1 4AN

United Kingdom

Company reg. XXX-XXX-XXXX

Amsterdam Office

Laarderhoogtweg 25

Amsterdam, 1101 EB

The Netherlands

Company reg. XXX-XXX-XXXX

USA Tech Recruit Head Office

1388 Haight St

San Francisco,

CA 94117

Company reg. 26- XXX-XXX-XXXX

Valencia Office

c/Jordi de Sant Jordi 12

bajo izq. 2

Valencia, 46022

Spain

Company reg. B72490204

Berlin Office

Friedrichstr. 114A

Berlin, 10117

Germany

Ireland Office

13 Adelaide Road,

Dublin 2, DO2 P950

Ireland

Company reg. 788394

Skills

PythonRenderingAIGraphics3DMachine LearningComputer VisionEmbedded