Torc Robotics Quality Control Engineer at Torc Robotics responsible for auditing HD map geospatial datasets for autonomous trucks. Collaborate with mapping engineers and vendors to ensure map accuracy and improve QC processes.
Responsibilities
Torc's map enablement team is looking for a quality control engineer to help deliver and scale its mapping operation for Torc's commercial expansion. This individual will collaborate with engineering teams that use mapping datasets to create tailored QC workflows, turning feedback into optimized processes that scale as Torc's operational mapping footprint grows.
Review HD map geospatial data (lane geometry, road boundaries, intersections, signage, lane connectivity) against internal quality specifications and ground-truth sources
Perform QC on map features derived from LiDAR point clouds, aerial/satellite imagery, and vehicle-collected sensor data
Identify, document, and triage map defects, escalating safety-critical issues to mapping and autonomy engineering teams
Define and refine QC metrics, sampling strategies, and audit workflows to measure and improve map accuracy at scale
Partner with mapping vendors and internal teams to communicate quality standards and drive defect resolution
Analyze recurring defect patterns and feed findings back into upstream map creation and annotation processes to reduce future errors
Maintain clear documentation of QC procedures, edge cases, and regional/route-specific map requirements
Support readiness reviews for new lanes, corridors, or operational design domains (ODDs) prior to launch
Qualification
Bachelor's degree in GISFamiliarity with GIS tools (eAdditional for QC Engineer IIHD mapping experience
Required
Bachelor's degree in GIS, Geomatics, Geography, Surveying, Civil Engineering, Computer Science, or a related field, or equivalent practical experience
1–3 years of experience (QC Engineer I) or 3–5 years (QC Engineer II) in geospatial data QC, map production, GIS analysis, or a related quality/annotation role
Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, KML) and coordinate/projection systems