GeoSpatial Engineer, DoorDash Labs

DoorDash USA•San Francisco, CA

About The Position

DoorDash Labs is an independent team within DoorDash. We're hiring a geospatial software engineer to work at the intersection of software engineering and robotics to solve key business problems with elegant technical solutions. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! You're excited about this opportunity because you will... Analyze Complex 3D Environments: Build automated pipelines to process LiDAR point clouds and sensor logs. You will write algorithms to programmatically classify terrain, and identify obstacles Scale the Data Infrastructure: Manage the geospatial backend (PostGIS/Cloud) that acts as the "source of truth" for the fleet’s operational maps and geofences. Serve & Visualize Map Data: Build high-performance map services (Vector Tiles, APIs) to render complex 3D environments and fleet positions in our web-based mission control dashboards.

Requirements

B.S., M.S., or PhD. in Computer Science or equivalent
6+ years of industry experience as a geospatial engineer
3D Point Cloud Expertise: Experience using tools like PDAL, PCL, or Python (Open3D/NumPy) to process and analyze raw LiDAR data.
Advanced Routing Knowledge: A strong grasp of Graph Theory and pathfinding algorithms (A, Dijkstra) applied to unstructured environments.
Spatial Database Proficiency: Expert-level SQL skills with PostGIS for managing complex geometries and spatial relationships.
Algorithmic Mindset: You are comfortable writing logic to solve geometric problems (e.g., "Does this 3D trajectory intersect with this static obstacle?").

Nice To Haves

Experience with Kotlin or Java.
Knowledge of Coordinate Reference Systems (CRS) and transformations.

Responsibilities

Analyze Complex 3D Environments: Build automated pipelines to process LiDAR point clouds and sensor logs. You will write algorithms to programmatically classify terrain, and identify obstacles
Scale the Data Infrastructure: Manage the geospatial backend (PostGIS/Cloud) that acts as the "source of truth" for the fleet’s operational maps and geofences.
Serve & Visualize Map Data: Build high-performance map services (Vector Tiles, APIs) to render complex 3D environments and fleet positions in our web-based mission control dashboards.

Benefits

comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
medical, dental, and vision benefits
11 paid holidays
disability and basic life insurance
family-forming assistance
a mental health program
flexible paid time off/vacation, plus 80 hours of paid sick time per year
vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week)