Senior Algorithm Engineer (Computer Vision & Spatial Geometry)

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.

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”.

• 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.

• Build graph-based engines to interpret spatial relationships between detected elements.

• Automatically infer topology and close geometric contours.

• 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 topological level.

• Design pipelines for extracting textual data (dimensions, technical parameters).

• Integrate extracted information directly with geometric and spatial models.

• Optimize critical system components for computational complexity and throughput.

• Profile and eliminate performance bottlenecks.

• Use vectorization, parallel computation, and GPU acceleration where applicable.

• Expert-level Python, with a strong focus on algorithmic engineering and performance profiling.

• Computational Geometry: vector operations, graph processing, topology reconstruction, spatial transformations.

• Advanced Computer Vision: practical experience with OpenCV (LSD, Hough transforms, morphological operations, image restoration).

• High-Performance Computing:

• Advanced NumPy vectorization

• Performance tools such as Numba, Cython, or CuPy

• Strong algorithmic mindset: ability to design custom solutions where standard ML/CV approaches fail on precision or speed.

• Polish language proficiency (required) – ability to work with Polish technical documentation and communicate in Polish.

• Experience working with technical documentation, CAD formats, or GIS systems.

• Knowledge of mathematical optimization methods or fuzzy logic.

• Experience scaling image processing pipelines on cloud infrastructure.

• Experience in Langchain and Agentic Development

• Working with modern machine learning and 3D processing technologies.

• Annual self-development budget.

• Participation in a variety of innovative, challenging projects.

• Internal workshops and knowledge-sharing sessions.

• Personal branding opportunities (articles, conference speaking, leading workshops).

• Flexible working hours.

• Remote work possibility.

• Friendly atmosphere and supportive team environment.

• Chillout room / free beverages / team & company events (for on-site visits).

• MultiSport card.

• LuxMed healthcare package.

Originally posted on Himalayas