Quality Control Engineer, HD Mapping
Core
Review and validate high-definition map geospatial datasets (lanes, road boundaries, intersections, signage) for autonomous trucking to ensure accuracy and completeness.
Role type
Quality Control Engineer (HD Mapping)
Builds
Reliable HD map data for autonomous vehicle deployment
Domain
Autonomous trucking / Geospatial mapping
Required skills
Geospatial data analysis, LiDAR point-cloud review, GIS platforms (ArcGIS/QGIS), defect identification, data-driven QC process development, technical documentation, cross-functional collaboration
Preferred skills
HD mapping for autonomous vehicles, Lanelet2/OpenDRIVE/OpenStreetMap, LiDAR tools (TerraScan/TerraSolid/LP360), Python/SQL scripting, ISO 26262/ASPICE familiarity
Technologies
Shapefiles, GeoJSON, KML, ArcGIS, QGIS, TerraScan, TerraSolid, LP360, PostGIS, Python, SQL
Responsibilities
Review HD map datasets against quality specifications and ground-truth sources; Identify and triage mapping defects from LiDAR, imagery, and sensor data; Define and improve QC metrics, sampling strategies, and audit workflows; Partner with engineering and vendor teams to resolve defects; Analyze defect patterns to improve upstream workflows; Support readiness reviews for new corridors and operational design domains.
Seniority
Mid-level (1–3 years) to Senior (3–5 years), hands-on IC
