2 days ago
Base Salary
$180k - $260k/yr
Responsibilities
- Design and scale pipelines that process lidar, camera, and GNSS/IMU data into high-definition maps, including alignment, semantic layers, and automated or human-in-the-loop labeling.
- Automate route and hub mapping, validation, and deployment to reduce onboarding time and cost.
- Build geospatial storage, versioning, provenance, schemas, and data contracts for map data.
- Develop services that package, compress, distribute, roll out, roll back, and maintain compatibility for map updates delivered to vehicles.
- Create systems to detect real-world map changes and route them into safe map updates.
- Implement map quality metrics and automated validation for geometry, topology, semantics, and localization performance.
- Build map visualization, editing, review, and QA tools for engineers and operators.
- Integrate map data with simulation, scenario generation, and ML training pipelines.
- Promote clean interfaces, testing, code review, observability, dependable CI, and prevention of map-related incidents.
Requirements
- 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 of experience.
- Strong software engineering skills in Python and/or C++, including modular, maintainable, well-tested systems development.
- Experience building large-scale data pipelines and distributed processing systems with tools such as Spark, Ray, Beam, or similar on cloud infrastructure.
- Experience with geospatial data, coordinate systems, 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, such as Protobuf.
- Clear communication and effective collaboration with autonomy, simulation, and operations teams.
Tech Stack
Categories
Data Engineering
About Gatik AI
Gatik AI builds and operates autonomous middle‑mile trucking networks for retailers and consumer brands, delivered as a transportation‑as‑a‑service offering. Its Level 4, Class 3–7 trucks move B2B freight on short‑haul, repeatable routes, with commercial deployments in Texas, Arkansas, and Ontario, including a fully driverless service launched with Walmart in 2021. Founded in 2017 and headquartered in Santa Clara, it integrates software and hardware to run driverless deliveries between warehouses and stores.