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Geospatial/Mapping Engineer
Job in
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-06-02
Listing for:
Actalent
Full Time
position Listed on 2026-06-02
Job specializations:
-
Engineering
Data Engineer, Robotics, Computer Science -
IT/Tech
Data Analyst, Data Engineer, Robotics, Computer Science
Job Description & How to Apply Below
Job Description:
As a Geospatial / HD Mapping Engineer, you will play a critical role in the design, development, and expansion of our HD Mapping pipeline. You will process, clean, and validate large-scale LiDAR point cloud datasets and extract refined road-based linear and polygonal features. Your work will include annotating and validating 3D objects and roadway furniture, performing topology validation of road networks, and working with both raw and processed LiDAR and camera data.
You will also develop and maintain Python-based geospatial data processing tools and manage large spatial datasets using cloud infrastructure.
Responsibilities:
+ 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, including lane connectivity, intersection logic, and 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.
+ Manage and process large spatial datasets using cloud infrastructure, preferably Azure.
+ Work with PostGIS databases and perform advanced spatial queries.
+ Support data migration, versioning, and format conversion.
+ Collaborate 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.
Skills:
+ 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, Micro Station.
+ Proven experience working with large-scale mapping or geospatial production projects.
+
Experience with one or more:
Cloud Compare, Micro Station, Open Cities, Terra Solid, Lidar
360.
+ Strong understanding of LiDAR processing workflows.
+ Strong Python programming skills.
+
Experience with geospatial libraries (e.g., GDAL, Shapely, Geo Pandas).
+
Experience with PostGIS.
+ Strong understanding of spatial indexing and query optimization.
+ Familiarity with OSM, Open Drive, GeoJSON, LAS/LAZ.
Additional Skills &
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.
Work Environment:
The role is based onsite in Mountain View, California, five days a week. You will work in a fast-paced startup environment focused on real-world deployment, with close collaboration with autonomy engineering teams. This position offers the opportunity to directly impact commercial autonomous trucking operations.
Job Type & Location
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…
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