Sr/Staff GIS Engineer, HD Mapping

Gatik AI • Mountain View, CA

42d • Onsite

About The Position

We 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!

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Geospatial Engineering, Robotics, Civil Engineering, or a related technical field.
• Experience: Minimum 3+ years of professional experience in geospatial systems, mapping, or related fields.
• GIS & Mapping Tools: Strong hands-on experience with GIS platforms (e.g., ArcGIS, QGIS, MicroStation) and specialized tools (e.g., CloudCompare, MicroStation, OpenCities, TerraSolid, Lidar360).
• LiDAR: 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

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level