Senior Algorithm Engineer (Computer Vision & Spatial Geometry)

About the Project We are developing an advanced system for automated analysis and digitization of engineering documentation. Our goal is to transform unstructured visual data (rasters, scans, low-quality PDFs, and plan photographs) into precise, parametric 3D models. The project combines challenges in computer vision, computational geometry, and high-performance data processing, with a strong focus on pixel- and millimeter-level accuracy. Role Overview We are looking for a Senior Algorithm Engineer who will design and implement the core algorithmic engine of the system. This role is focused on vectorization, topology reconstruction, spatial reasoning, and performance-critical computation, where ready-made ML/CV models are often insufficient in either precision or speed. You will work on problems where algorithmic rigor, geometry, and heuristics are more important than “gluing APIs”. Vectorization & Reconstruction Design and optimize algorithms for edge and vertex reconstruction from noisy visual inputs (scans, images, low-quality PDFs). Handle imperfect, degraded, or ambiguous source data with high robustness. Topology Engine Build graph-based engines to interpret spatial relationships between detected elements. Automatically infer topology and close geometric contours. Spatial Heuristics Implement domain-specific rule systems and heuristics to validate logical and geometric correctness of generated 2D and 3D models. Enforce consistency constraints at the spatial and topo