Molaprise · 1 day ago
Senior Computer Vision & Spatial Geometry Engineer
New York, NY, United States
Full-time
Hybrid
Senior Level
$70/hr - $70/hr
5+ years expMolaprise is focused on developing automated systems for converting scanned architectural floor plans into structured spatial data. The role involves reconstructing accurate geometry from raster scans and developing methods for converting pixel geometry into real-world coordinates.
Cloud ComputingCloud SecurityConsultingCyber SecurityInformation TechnologyRisk ManagementSecurity
Responsibilities
Design and implement a raster-to-geometry pipeline for scanned architectural PDFs
Build robust preprocessing tools for: deskewing, binarization, noise reduction, normalization of low-quality scans
Isolate architectural linework (walls, boundaries) from: text, dimensions, symbols, stamps and annotations
Handle door gaps and broken boundaries to ensure enclosed, “watertight” regions
Extract enclosed regions (rooms, corridors) using connected components and topology analysis
Convert raster regions into clean polygon geometry: contour extraction, polygon simplification, vertex snapping, consistent winding and validity checks
Develop deterministic methods to convert pixel geometry into real-world X/Y coordinates
Calibrate scale using: architectural dimension annotations, scale notes when available
Validate geometry numerically: closed polygons, area consistency, tolerance-based error detection
Integrate OCR outputs to: associate room labels with polygons, parse dimension strings (feet/inches, metric), extract height or ceiling notes
Map semantic text to spatial geometry using proximity and containment logic
Produce structured JSON outputs aligned with downstream 3D/GIS systems
Ensure outputs are explainable, debuggable, and consistent across floors and documents
Build internal visualization/debugging tools (overlays, masks, polygon previews)
Qualification
Required
5+ years of experience in computer vision, image processing, or computational geometry
Strong command of classical CV techniques, including: thresholding and morphology (dilate/erode/open/close), edge and line detection (e.g., Hough transforms), connected components and region analysis, contour tracing and polygon simplification (e.g., Douglas–Peucker)
Solid understanding of planar geometry and numerical robustness
Experience converting raster data into vector or polygon representations
Strong Python skills (NumPy, OpenCV, scikit-image, etc.)
Comfortable debugging visually and iterating on messy real-world data
Preferred
Experience with architectural drawings, floor plans, CAD, BIM, GIS, or maps
Familiarity with OCR systems and bounding-box–based text extraction
Experience parsing architectural dimensions (feet/inches or metric)
Experience validating polygon geometry (self-intersection, closure, area)
Prior work on document image analysis or technical drawings
Company
Molaprise
Molaprise is an information technology and consulting company.
11-50 employees
H1B Sponsorship
Molaprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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2025 (1)
2024 (1)
Funding
Current Stage
Early StageRecent News
2023-12-24
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