Senior/Staff GIS Engineer, HD Mapping
Booster, Mountain View, CA, United States
Who we are
Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short‑haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick‑up and drop‑off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all‑encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
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.
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
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Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short‑haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick‑up and drop‑off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all‑encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
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.
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
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