Senior/Staff GIS Engineer, HD Mapping

Gatik AI

Mountain View, CA

Posted 7 months ago

Posted 9 March 2026

full-time

About the Role

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.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.
<span