Quality Control Engineer, HD Mapping
Core
Auditing high-definition map geospatial datasets (lane geometry, road boundaries, signage) derived from LiDAR and sensor data to ensure accuracy and completeness for autonomous truck operation.
Role type
Quality Control Engineer (Geospatial Data)
Builds
High-definition map datasets for autonomous trucks
Domain
Autonomous driving / Geospatial mapping
Deliverable
production ML models
Required skills
Geospatial data QC, GIS analysis, LiDAR/point cloud data review, Geospatial data formats (shapefiles, GeoJSON, KML), Coordinate/projection systems, GIS tools (ArcGIS, QGIS), Defect identification and documentation, Cross-functional collaboration
Preferred skills
HD mapping for AV/trucking, Map standards (Lanelet2, OpenDRIVE), LiDAR processing tools (TerraScan, TerraSolid), Python/SQL scripting, Vendor team management, Functional safety standards (ISO 26262)
Technologies
LiDAR, ArcGIS, QGIS, TerraScan, TerraSolid, LP360, PostGIS, Python, SQL, Shapefiles, GeoJSON, KML, OpenDRIVE, Lanelet2
Responsibilities
Review HD map geospatial data against quality specifications and ground-truth sources; Perform QC on map features derived from LiDAR point clouds and sensor data; Identify, document, and triage map defects; Define and refine QC metrics, sampling strategies, and audit workflows; Partner with mapping vendors and internal teams to drive defect resolution; Analyze recurring defect patterns to improve upstream processes; Support readiness reviews for new lanes or operational design domains.
Seniority
Junior to Mid-level IC (1–5 years experience)