Senior/Staff GIS Engineer, HD Mapping

Posted Yesterday
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Santa Clara, CA, USA
In-Office
160K-230K Annually
Senior level
Automotive • Logistics
The Role
Build and improve HD mapping production pipelines: process and validate large LiDAR/camera datasets, extract road features, validate topology, develop Python geospatial tools, use PostGIS and cloud infrastructure, and collaborate with autonomy, perception, and planning teams to deliver high-quality maps on tight timelines.
Summary Generated by Built In
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.
  • 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

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy.  By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

Notable News
  • Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
  • Forbes: Hundreds’ Of Gatik Robot Delivery Trucks Headed For U.S. Roads
  • Forbes:Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
  • Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
  • Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
  • Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment Framework
  • Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
  • Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
  • Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
  • Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
  • Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our team

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

 

Skills Required

  • Bachelor's or Master's in Computer Science, Geospatial Engineering, Robotics, Civil Engineering, or related field.
  • Minimum 3+ years professional experience in geospatial systems, mapping, or related fields.
  • Strong hands-on experience with GIS platforms (ArcGIS, QGIS, MicroStation) and specialized geospatial tools (CloudCompare, OpenCities, TerraSolid, Lidar360).
  • Proven experience with large-scale mapping/geospatial production projects and LiDAR processing workflows.
  • Strong Python programming skills for geospatial data processing.
  • Experience with geospatial libraries (GDAL, Shapely, GeoPandas).
  • Experience with PostGIS, including spatial indexing and query optimization.
  • Familiarity with mapping and geospatial data formats: OSM, Lanelet, OpenDrive, GeoJSON, LAS/LAZ.
  • Ability to process, clean, and validate large-scale LiDAR point clouds; extract road linear/polygonal features and annotate 3D objects; perform topology validation.
  • Experience managing and processing large spatial datasets using cloud infrastructure (Azure preferred).
  • C++ experience for performance-critical components.
  • Experience in HD mapping pipelines for autonomous vehicles, routing and graph-based road modeling, sensor calibration (LiDAR+camera), or CI/CD for geospatial systems.
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The Company
HQ: Mountain View, CA
47 Employees
Year Founded: 2017

What We Do

Gatik was founded in 2017 by veterans of the autonomous technology industry and has established offices in Palo Alto and Toronto. The company’s mission is to deliver goods safely and efficiently using autonomous vehicles. With its fleet of light to medium-duty trucks, Gatik is leading the way in autonomous middle mile delivery. The company focuses on short-haul, business to business (B2B) logistics for the retail industry, enabling its customers to optimize their hub-and-spoke supply chain operations, enhance inventory pooling across multiple locations, reduce labor costs and meet the unprecedented demand for contactless delivery.

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