GeoSpatial Engineer - DoorDash Air

DoorDash•San Francisco, CA

About The Position

DoorDash Labs is an independent team within DoorDash hiring a geospatial software engineer to work at the intersection of software engineering and robotics. The role applies robotics solutions to business problems involving autonomous delivery systems. The engineer will build pipelines to ingest and process terrain, sensor-log, point-cloud, and building-footprint data; develop spatial algorithms to classify terrain and detect obstacles for safe navigation; scale high-performance spatial data storage and retrieval systems; and build map services, including vector tiles and APIs, to visualize complex 3D environments and fleet positions in web-based mission control dashboards.

Requirements

B.S., M.S., or Ph.D. in Computer Science or equivalent.
At least 6 years of industry experience as a geospatial engineer.
Experience with scientific Python and geospatial data science.
Knowledge of Coordinate Reference Systems (CRS) and associated transformations.
Expert-level proficiency with PostGIS or an equivalent spatial database for managing complex geometries and spatial relationships.
Ability to write logic to solve geometric problems, such as determining whether a 3D trajectory intersects a static obstacle.

Nice To Haves

Experience with Kotlin, Java, and/or Go.
Experience with distributed computing, such as Spark.
Experience using PDAL, PCL, or Python tools such as Open3D and NumPy to process and analyze raw LiDAR data.

Responsibilities

Build geospatial data pipelines to ingest and process terrain, sensor logs, point clouds, and building footprints.
Develop spatial algorithms to classify terrain and detect obstacles for safe, reliable autonomous navigation.
Design and scale high-performance spatial data storage and retrieval systems to support increasing fleet throughput.
Build high-performance map services, including vector tiles and APIs, for web-based mission control dashboards.