Algolux is an award-winning AI software company delivering the industry’s most robust and scalable perception for all conditions, addressing both existing cameras and new designs through cloud-based tools and embedded software. The company was founded on... Backed by Real Ventures.
About the role
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
What they're looking for
- 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
- Familiarity with GIS tools (e.g., ArcGIS, QGIS) and/or LiDAR/point cloud viewers
- Strong attention to detail and ability to identify subtle spatial or geometric inconsistencies in large datasets
- Comfort working with large datasets and defining repeatable, data-driven QC processes
More about this role
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
You will be working with Torc's map enablement team to review and conduct quality control work on high-definition map datasets used by Torc's autonomous trucks. This role is responsible for auditing HD map geospatial datasets (lane geometry, road boundaries, signage, and other map features derived from LiDAR point clouds and sensor data) to ensure it meets the accuracy and completeness standards required for safe autonomous operation on highways and surface streets. You'll work closely with mapping engineers, mapping vendors, and autonomy teams to catch defects before they reach the...
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