GeoSpatial Engineer, DoorDash Labs
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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
