Location
Mountain View
Posted
June 03, 2026
Commute
Local Area
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Job Description
Description
● Contribute to the design, development, and expansion of our HD Mapping pipeline. ● Process, clean, and validate large-scale LiDAR point cloud datasets. ● Extract and refine road-based linear and polygonal features ● Annotate and validate 3D objects and roadway furniture. ● Perform topology validation of road networks (lane connectivity, intersection logic, turn constraints). ● Work with raw and processed LiDAR and camera data. ● Perform colorization and refinement of point clouds. ● Develop and maintain Python-based geospatial data processing tools. ● (Optional) Contribute to performance-critical components in C++. ● Manage and process large spatial datasets using cloud infrastructure (Azure preferred). ● Work with PostGIS databases and perform advanced spatial queries such as: ○ Intersection detection ○ Geometry building and transformation ○ Query optimization and performance tuning ● Support data migration, versioning, and format conversion (OSM, OpenDrive, Lane...
● Contribute to the design, development, and expansion of our HD Mapping pipeline. ● Process, clean, and validate large-scale LiDAR point cloud datasets. ● Extract and refine road-based linear and polygonal features ● Annotate and validate 3D objects and roadway furniture. ● Perform topology validation of road networks (lane connectivity, intersection logic, turn constraints). ● Work with raw and processed LiDAR and camera data. ● Perform colorization and refinement of point clouds. ● Develop and maintain Python-based geospatial data processing tools. ● (Optional) Contribute to performance-critical components in C++. ● Manage and process large spatial datasets using cloud infrastructure (Azure preferred). ● Work with PostGIS databases and perform advanced spatial queries such as: ○ Intersection detection ○ Geometry building and transformation ○ Query optimization and performance tuning ● Support data migration, versioning, and format conversion (OSM, OpenDrive, Lane...