GeoSpatial Engineer

DoorDash, Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$193,800–$285,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $239k
$129k $302k
below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $148,500–$217,525 — the blue band above. At the midpoint, this role pays about $239k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 99 open roles on FindRole.

Listed pay typically runs $165,500–$243,400 across 98 roles with salary data.

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View all roles at DoorDash, Inc

At a glance

TL;DR · GeoSpatial Engineer

GeoSpatial Engineer - DoorDash Air will join DoorDash Labs to work at the intersection of software engineering and robotics. The role involves building geospatial data pipelines to ingest terrain, sensor logs, point clouds, and building footprints. You will develop spatial algorithms to classify terrain and detect obstacles for autonomous delivery systems, while scaling high-performance spatial data storage and retrieval systems. Responsibilities include building map services like Vector Tiles and APIs to visualize 3D environments and fleet positions in mission control dashboards. Required skills include a degree in Computer Science, six years of experience, scientific Python, geospatial data science, Coordinate Reference Systems, and PostGIS expertise. You must possess an algorithmic mindset to solve geometric problems, such as 3D trajectory intersections with static obstacles, within a robotics and autonomous navigation context.

What you'll do

  • 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 autonomous delivery systems.
  • Design and scale high-performance spatial data storage and retrieval systems to handle fleet throughput.
  • Build high-performance map services and APIs to render 3D environments and fleet positions.
  • Manage complex geometries and spatial relationships using PostGIS or equivalent spatial databases.
  • Write logic to solve geometric problems such as 3D trajectory intersections with static obstacles.

What we're looking for

  • B.S., M.S., or PhD. in Computer Science or equivalent.
  • 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 skills with PostGIS (or equivalent) for managing complex geometries and spatial relationships.
  • Ability to write logic to solve geometric problems.
  • Experience with Kotlin, Java, and/or Go (preferred).
  • Experience with distributed computing, such as Spark (preferred).
  • Experience using tools like PDAL, PCL, or Python (Open3D/NumPy) to process and analyze raw LiDAR data (preferred).

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