Quality Control Engineer, HD Mapping

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Review HD map geospatial datasets, including lane geometry, road boundaries, intersections, signage, and lane connectivity, against internal quality specifications and ground-truth sources.
• Perform quality-control reviews of map features generated from LiDAR point clouds, aerial and satellite imagery, and vehicle-collected sensor data.
• Identify, document, and triage mapping defects, escalating safety-critical issues to the appropriate mapping and autonomy engineering teams.
• Define and continuously improve QC metrics, sampling strategies, audit workflows, and processes that support map accuracy and consistency at scale.
• Partner with internal engineering teams and external mapping vendors to communicate quality expectations, resolve defects, and improve overall data quality.
• Analyze recurring defect patterns and provide feedback to upstream map creation and annotation workflows to reduce future errors.
• Maintain clear documentation covering QC procedures, edge cases, regional requirements, and route-specific mapping considerations.
• Support readiness reviews for new lanes, corridors, and operational design domains before they are launched.
• For more experienced candidates, contribute to the design and improvement of QC processes and tooling, mentor junior reviewers, support vendor quality calibration, and report map-quality trends to engineering stakeholders.

Requirements:

• Bachelor’s degree in GIS, Geomatics, Geography, Surveying, Civil Engineering, Computer Science, or a related discipline, or equivalent practical experience.
• 1–3 years of experience for QC Engineer I or 3–5 years for QC Engineer II in geospatial data quality control, map production, GIS analysis, annotation, or a related quality-focused role.
• Experience working with geospatial data formats such as Shapefiles, GeoJSON, and KML, as well as coordinate and projection systems.
• Familiarity with GIS platforms such as ArcGIS or QGIS and/or LiDAR and point-cloud visualization tools.
• Strong attention to detail and the ability to identify subtle spatial, geometric, and data-quality inconsistencies across large datasets.
• Ability to work with large datasets and develop repeatable, data-driven quality-control processes.
• Strong written communication skills, with the ability to clearly document defects, standards, and findings for both technical and non-technical audiences.
• Ability to collaborate effectively with engineering, operations, and third-party vendor teams.
• For QC Engineer II, experience building or improving QC processes or tooling from the ground up, mentoring junior reviewers, leading vendor or annotator quality calibration, and defining map-quality metrics is expected.
• Preferred experience includes HD mapping for autonomous vehicles or trucking, Lanelet2, OpenDRIVE, or OpenStreetMap, LiDAR point-cloud processing tools such as TerraScan, TerraSolid, or LP360, and scripting with Python or SQL for QC automation or spatial queries such as PostGIS.
• Additional valuable experience includes highway or interstate corridor mapping, managing outsourced annotation teams, and familiarity with functional safety or quality standards such as ISO 26262 or ASPICE.

Benefits:

• U.S. salary range of $89,600–$107,500 USD, with compensation varying based on geographic market, job-related knowledge, skills, and experience.
• Competitive total compensation package including a bonus component and stock options.
• 100% company-paid medical, dental, and vision premiums for full-time employees.
• 401(k) plan with a 6% employer match.
• Flexible scheduling and generous paid vacation available immediately after the start date.
• Company-wide holiday office closures.
• AD&D and life insurance.
• Depending on the position and circumstances, additional compensation may include sign-on payments, relocation assistance, and other benefits or financial incentives.
• Commitment to a collaborative, inclusive, and team-focused work environment.