Geospatial / HD Mapping Engineer
Role details
Job location
Tech stack
Job 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, Lanelet). ? Work closely with autonomy, perception, and planning teams. ? Coordinate with remote freelancers and distributed contributors across time zones. ? Manage Jira tickets and contribute to sprint planning. ? Provide structured progress reports and articulate technical requirements clearly. ? Deliver under tight timelines while maintaining high quality standards.
Requirements
? 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 such as ArcGIS, QGIS, MicroStation ? Proven experience working with large-scale mapping or geospatial production projects. ? Experience with one or more: CloudCompare, MicroStation, OpenCities, TerraSolid, Lidar360 ? Strong understanding of LiDAR processing workflows. ? Strong Python programming skills (required). ? Experience with geospatial libraries (e.g., GDAL, Shapely, GeoPandas). ? Experience with C++ (plus). ? Experience with PostGIS. ? Strong understanding of spatial indexing and query optimization. ? Familiarity with: OSM, Lanelet, OpenDrive, GeoJSON, LAS/LAZ Preferred 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. What Makes You a Strong Fit ? You are deeply passionate about geospatial data and mapping systems. ? You enjoy working hands-on with large, complex datasets. ? You are comfortable working extended hours when necessary to meet critical delivery milestones. ? You thrive in high-responsibility environments with production-level expectations. ? You take ownership of map quality and continuously seek improvement. ? You communicate clearly and document your work effectively. ? You can balance technical depth with operational execution.
Experience Level
Intermediate Level
Benefits & conditions
This is a Contract to Hire position based out of Mountain View, CA.
Pay and Benefits
The pay range for this position is $55.00 - $77.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type