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 topological level.
Contextual OCR
Design pipelines for extracting textual data (dimensions, technical parameters).
Integrate extracted information directly with geometric and spatial models.
Performance Engineering
Optimize critical system components for computational complexity and throughput.
Profile and eliminate performance bottlenecks.
Use vectorization, parallel computation, and GPU acceleration where applicable.
Requirements
Primary qualifications:
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.
It is great if you have:
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
Salary:
20 000 - 27 000 PLN + VAT (B2B)
We offer you:
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.
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