About the TeamMaps are a foundation of Gatik's autonomy stack, supporting localization, perception, prediction, planning, and simulation. The Map Infrastructure team builds the systems that turn fleet sensor data into accurate, versioned, validated maps and deliver them reliably to every truck and every simulation run. Because Gatik grows by launching new customer routes, how fast and safely we can map, validate, and deploy a new route directly shapes how fast the business scales.
About the RoleAs a Senior Software Engineer on Map Infrastructure, you'll design and build the pipelines, storage, services, and tools behind Gatik's maps, from raw sensor logs to the map data our trucks load on the road. You'll work closely with localization, autonomy, simulation, and operations teams to make map creation faster, map quality measurable, and map updates safe to ship.
What You'll Do- Build map creation pipelines. Design and scale pipelines that process lidar, camera, and GNSS/IMU data from the fleet into high-definition maps, including alignment, semantic layer generation, and automated and human-in-the-loop labeling.
- Speed up route onboarding. Reduce the time and cost to map, validate, and deploy new customer routes and hubs through automation, better tooling, and clear process.
- Own map storage and versioning. Build the geospatial data platform that stores map data with versioning, provenance, and clear schemas and data contracts, so every truck and simulation run can trace exactly which map it used.
- Deliver maps to the vehicle. Build reliable, efficient services that package, compress, and distribute map updates to the fleet, with safe rollout, rollback, and compatibility guarantees for onboard software.
- Detect and manage map change. Build systems that use fleet data to detect real-world changes such as construction, lane changes, and new signage, and route them into fast, safe map updates.
- Make map quality measurable. Define and implement map quality metrics and automated validation checks for geometry, topology, semantics, and localization performance, and gate releases on them.
- Build tools people love. Develop map visualization, editing, review, and QA tools that make it fast for engineers and operators to inspect, correct, and approve map data.
- Connect maps to simulation and ML. Make map data easy to consume in simulation, scenario generation, and ML training pipelines, in partnership with the simulation and Scalable ML teams.
- Raise the engineering bar. Champion clean interfaces, testing, code review, observability, and fast, dependable CI across map systems, and help root-cause and prevent map-related incidents.
What You'll Need to Succeed- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Geomatics, or a related field and 5+ years of relevant industry experience (or a Master's degree and 3+ years).
- Strong software engineering skills in Python and/or C++, including designing modular, maintainable, well-tested systems in a shared codebase.
- Experience building large-scale data pipelines and distributed processing systems, using tools such as Spark, Ray, Beam, or similar, on cloud infrastructure.
- Experience working with geospatial data, including coordinate systems and projections, spatial indexing (such as S2 or H3), and geospatial databases or libraries (such as PostGIS, GDAL, or Shapely).
- Experience designing data storage, versioning, and serving systems with clear schemas and APIs (for example, Protobuf or similar).
- Clear communication and the ability to work effectively with autonomy, simulation, and operations teams.
Salary Range: $180,000 - $260,000
