4 hours ago
Base Salary
$194k - $285k/yr
Responsibilities
- Build geospatial data pipelines for terrain, sensor logs, point clouds, and building footprints.
- Develop spatial algorithms to classify terrain and detect obstacles in complex 3D environments.
- Design and scale high-performance spatial data storage and retrieval systems for an autonomous delivery fleet.
- Build map services, vector tiles, APIs, and web-based visualizations for 3D environments and fleet positions.
Requirements
- Bachelor’s, master’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 and associated transformations.
- Expert-level proficiency with PostGIS or an equivalent spatial database technology.
- Ability to write algorithms for geometric problems involving trajectories, obstacles, and spatial relationships.
Benefits
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Medical, dental, and vision benefits.
- Wellness benefits, commuter benefits match, family-forming assistance, and mental health programs.
- Flexible paid time off and 80 hours of paid sick time annually for salaried roles.
- 11 paid holidays, disability insurance, basic life insurance, and paid sick leave in compliance with applicable laws.
- Equity grant opportunities are included in the compensation package.
Tech Stack
Categories
Data EngineeringRobotics
About DoorDash
DoorDash builds a marketplace and logistics platform that connects consumers with local restaurants and retailers for on-demand delivery and pickup, powered by a network of independent Dashers. It earns through delivery fees, merchant commissions, advertising, DashPass subscriptions, and white-label fulfillment via DoorDash Drive. Founded in 2013 and headquartered in San Francisco, the public company operates across the U.S. and selected international markets, and also researches automation through DoorDash Labs.