About the roleWe are seeking a highly motivated and technically proficient GIS Engineer, HD Mapping to join our team.
As a Geospatial / HD Mapping Engineer, you will be a key contributor to the expansion and optimization of our HD Mapping production pipeline. This hands-on role involves working with large-scale LiDAR and camera datasets, developing geospatial processing workflows, and improving our routing and topology validation systems. You will collaborate closely with internal teams and external partners to deliver high-quality maps under tight operational timelines.
This position requires a deep passion for geospatial data, strong software engineering skills, and the ability to thrive in a fast-paced production environment.Key Responsibilities: HD
Mapping & Spatial Data Production
This role is onsite 5 days/week in our Mountain View, CA office!
What you'll do- Mapping Pipeline Development: Contribute to the design, development, and expansion of the HD Mapping production pipeline.
- Data Processing and Validation:
• 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). - Software Engineering:
• Develop and maintain Python-based geospatial data processing tools (required).
• Contribute to performance-critical components using C++ (optional).
• Manage and process large spatial datasets using cloud infrastructure (Azure preferred). - Database and Spatial Queries: Work with PostGIS databases to perform advanced spatial queries, including intersection detection, geometry building/transformation, and query optimization.
- Data Management & Collaboration:
• Support data migration, versioning, and format conversion (OSM, OpenDrive, Lanelet).
• Coordinate with remote freelancers and distributed contributors. Work closely with autonomy, perception, and planning engineering teams.
• Manage Jira tickets, contribute to sprint planning, and provide structured progress reports.
• Maintain high quality standards while delivering under tight deadlines
What we're looking for- Bachelor's or Master's degree in Computer Science, Geospatial Engineering, Robotics, Civil Engineering, or a related technical field.
- Minimum 3+ years of professional experience in geospatial systems, mapping, or related fields.
- Strong hands-on experience with GIS platforms (e.g., ArcGIS, QGIS, MicroStation) and specialized tools (e.g., CloudCompare, MicroStation, OpenCities, TerraSolid, Lidar360).
- Proven experience working with large-scale mapping/geospatial production projects and a strong understanding of LiDAR processing workflows.
- Technical Skills:
• Strong Python programming skills.
• Experience with geospatial libraries (e.g., GDAL, Shapely, GeoPandas).
• Experience with PostGIS, including spatial indexing and query optimization.
• Familiarity with data formats: OSM, Lanelet, OpenDrive, GeoJSON, LAS/LAZ
Bonus Qualifications- Experience in HD Mapping production pipelines for autonomous vehicles.
- Experience validating road network topology and connectivity logic.
- Familiarity with routing algorithms and graph-based road modeling.
- Experience with automation pipelines and CI/CD for geospatial systems.
- Understanding of coordinate systems, projections, and EPSG transformations.
- Experience with sensor calibration workflows (LiDAR + camera).
- Experience managing distributed contributors or remote freelancers
Salary Range- $160,000- $230,000
