6 дней назад
Quality Control Engineer (HD Mapping)
89 600 - 107 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Control Engineer (HD Mapping) (Autonomous Vehicles/Geospatial Data): Auditing high-definition map datasets for autonomous trucks, including lane geometry, road boundaries, signage, connectivity, and LiDAR-derived features with an accent on accuracy, completeness, and safety-critical defect detection. Focus on designing scalable QC metrics and workflows, analyzing recurring spatial defects, and improving mapping processes across highways and surface streets.
Location: Remote - US
Salary: $89,600–$107,500 USD annually, plus bonus and stock options.
Company
develops software for automated trucks and autonomous driving solutions as part of the Daimler family.
What you will do
- Review HD map geospatial data, including lane geometry, road boundaries, intersections, signage, and lane connectivity, against quality specifications and ground-truth sources.
- Perform quality control on map features derived from LiDAR point clouds, aerial and satellite imagery, and vehicle-collected sensor data.
- Identify, document, and triage map defects, escalating safety-critical issues to mapping and autonomy engineering teams.
- Define QC metrics, sampling strategies, audit workflows, and documentation for scalable mapping operations.
- Partner with mapping vendors, engineering, operations, and autonomy teams to communicate standards and resolve defects.
- Analyze recurring defect patterns and support readiness reviews for new lanes, corridors, and operational design domains.
Requirements
- 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 for QC Engineer I or 3–5 years for QC Engineer II in geospatial data QC, map production, GIS analysis, or a related quality or annotation role.
- Experience with geospatial data formats such as shapefiles, GeoJSON, and KML, as well as coordinate and projection systems.
- Familiarity with GIS tools such as ArcGIS or QGIS and/or LiDAR and point-cloud viewers.
- Strong attention to detail, large-dataset analysis skills, and the ability to define repeatable, data-driven QC processes.
- Ability to work remotely from the United States. Clear written communication and cross-functional collaboration skills are required.
Nice to have
- HD mapping experience for autonomous vehicles or trucking.
- Familiarity with Lanelet2, OpenDRIVE, OpenStreetMap, or LiDAR point-cloud processing tools.
- Python or SQL scripting for automated QC checks and spatial queries such as PostGIS.
- Highway or interstate corridor mapping experience and experience managing outsourced annotation teams.
- Familiarity with ISO 26262, ASPICE, or other functional safety and quality standards.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- Competitive compensation with bonus and stock options.
- 100% employer-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible scheduling, generous paid vacation available immediately after starting, company-wide holiday closures, and life and AD&D insurance.
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