BIM Software Developer

We are seeking a BIM Software Developer to work with the data inside Revit and IFC models properties, parameters, and geometry and turn it into clean, analysis-ready datasets. You will extract model data in the cloud via Autodesk Platform Services (APS) (Model Derivative and Data Management APIs), transform it into structured formats, and run geometry and IFC quality checks that feed our downstream analytics and AI agents. This is a data-engineering role: no desktop Revit, no model authoring. Key Responsibilities Extract Revit and IFC model data properties, parameters, type/instance data, and relationships via APS APIs, without using desktop Revit. Transform model data into analysis-ready formats (e.g. Parquet, JSON, CSV) for querying, reporting, and agent consumption. Pull and process derived geometry (SVF/SVF2, or exports such as OBJ/STL/IFC) for downstream analysis and visualization. Build geometry data checks proximity/clash, bounding-box and volume sanity, missing-element detection, and parameter completeness. Run IFC checks validate schema conformance, property-set completeness, and geometry integrity on exported/derived models. Build robust ingestion pipelines manage asynchronous translation jobs, webhooks, retries, and large/heavy models reliably. Map BIM data semantics onto the platform s structured data model, and flag where API coverage gaps limit what can be extracted. Collaborate with data, engineering, and AEC domain teams to ensure extracted data reflects real model intent. Required Skills & Experience Strong backend / data engineering in Python building reliable extraction and transformation pipelines. Hands-on Autodesk Platform Services (APS) Model Derivative and Data Management APIs, OAuth, and webhooks. BIM data fluency IFC schema, Revit property/parameter model, property sets, and classification. Geometry data handling meshes, transforms, and spatial queries (e.g. trimesh, shapely). Data formats and stores JSON, Parquet, and analytical/columnar querying. Preferred (Nice to Have) Revit plugin / Design Automation experience extracting true BREP (boundary representation) geometry directly from Revit for granular geometry analysis and clash detection, beyond what Model Derivative exposes. Programmatic federation of Revit models combining multiple linked / discipline models in code to enable deep cross-model geometry and clash detection. C# / .NET with the Revit API the language and toolset behind the BREP extraction and federation work above.

Desired Candidate Profile

Strong backend / data engineering in Python building reliable extraction and transformation pipelines. Hands-on Autodesk Platform Services (APS) Model Derivative and Data Management APIs, OAuth, and webhooks. BIM data fluency IFC schema, Revit property/parameter model, property sets, and classification. Geometry data handling meshes, transforms, and spatial queries (e.g. trimesh, shapely). Data formats and stores JSON, Parquet, and analytical/columnar querying. Revit plugin / Design Automation experience extracting true BREP (boundary representation) geometry directly from Revit for granular geometry analysis and clash detection, beyond what Model Derivative exposes. Programmatic federation of Revit models combining multiple linked / discipline models in code to enable deep cross-model geometry and clash detection. C# / .NET with the Revit API the language and toolset behind the BREP extraction and federation work above.