3D Computer Vision / Computational Geometry Engineer

Engagement: Project contract, October–December 2026, with the potential to extend further based on prototype success.

Commitment: Full-time

Location: Remote within Indonesia, with occasional sessions in Jakarta or Central Java

Professional fee: Rp20-30 million per month, based on directly relevant experience

Travel: Reimbursed separately

We are seeking a hands-on technical lead for a confidential applied R&D project involving the analysis, matching and alignment of partial 3D geometry from real-world scan data.

This is an architecture and implementation role. The successful candidate will personally develop the core geometry pipeline, establish a rigorous evaluation methodology and advise whether additional technical resources are required.

Further information about the application domain will be shared with shortlisted candidates. Proprietary data and materials will be provided under NDA.

Responsibilities

• Assess the quality, scale, density, noise and completeness of point clouds and meshes
• Design preprocessing and geometry-quality-control procedures
• Develop candidate retrieval and ranking for partial 3D fragments
• Handle cases where no valid match exists
• Implement robust coarse-to-fine 6-DoF registration
• Generate and compare multiple alignment hypotheses where appropriate
• Develop physical-fit measurements covering contact, gaps, surface consistency, collision and penetration
• Structure results for review, correction, acceptance or rejection by human experts
• Design held-out evaluation covering top-k retrieval, pose accuracy, false positives, runtime and human correction
• Deliver modular, tested, reproducible and documented code
• Produce a realistic technical delivery plan and evidence-based recommendation on any additional resources required

Required Qualifications

• Demonstrable experience with point clouds, meshes, 3D registration, shape matching or geometric search
• Strong Python engineering capability
• Practical experience with Open3D, PCL, CGAL, Trimesh, PyTorch3D or equivalent tools
• Strong understanding of rigid transformations, surface normals, spatial search, robust estimation and registration methods
• Experience working with partial, noisy or incomplete real-world geometry
• Ability to design controlled experiments and evaluate algorithmic failure cases
• Ability to lead technical delivery while remaining directly involved in implementation
• Clear communication with technical and non-technical domain experts

Relevant backgrounds may include photogrammetry, robotics or SLAM, metrology, reverse engineering, industrial inspection, medical 3D imaging, geometric reconstruction or cultural-heritage digitisation.

Experience limited to 2D computer vision, object detection, generative AI, 3D modelling or visualisation without geometric processing and registration is not sufficient for this role.

Selection Process

Shortlisted candidates will be invited to:

• Present one or two relevant projects involving point clouds, meshes, 3D registration, geometric matching, or related computer-vision work.
• Participate in a 60–90-minute technical interview covering their proposed approach, likely failure cases, evaluation methods, and implementation decisions.
• Work through a simplified technical scenario during the interview. This will be a live discussion.
• Provide professional references where appropriate.

How to Apply

Please send:

1. CV or professional profile
2. One to three closely relevant projects
3. Your exact personal contribution to each project
4. Methods, data characteristics and evaluation metrics used
5. Code sample, repository, paper, demonstration or technical write-up
6. One significant 3D matching or registration failure you encountered and how you investigated it
7. Location and availability through December 2026
8. Expected monthly professional fee

• Applications without evidence of relevant 3D geometry work will not be prioritised.