GeoSpatial Engineer - DoorDash Air at DoorDash USA | CA, US | Rezi

GeoSpatial Engineer - DoorDash Air at DoorDash USA

GeoSpatial Engineer - DoorDash Air

DoorDash USA · CA, US

1 weeks ago

GeoSpatial Engineer - DoorDash Air

DoorDash USA · CA, US

9 days ago
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About the Role

DoorDash Labs is seeking a geospatial software engineer to work at the intersection of software engineering and robotics, solving key business problems with elegant technical solutions. This role involves applying robotics solutions to a service used by millions.

Responsibilities

  • Build Geospatial Data Pipelines: Ingest and process data like terrain, sensor logs, point clouds, and building footprints.
  • Analyze Complex 3D Environments: Develop spatial algorithms to classify terrain and detect obstacles, ensuring safe and reliable navigation for autonomous delivery systems.
  • Scale Data Infrastructure: Design and scale high-performance spatial data storage and retrieval systems to handle the growing throughput demands of our expanding fleet.
  • Serve and 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.
  • 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.
  • Comfortable writing logic to solve geometric problems (e.g., "Does this 3D trajectory intersect with this static obstacle?").

Skills

  • Geospatial engineering
  • Scientific Python
  • Geospatial data science
  • Coordinate Reference Systems (CRS)
  • PostGIS
  • Geometric problem solving
  • Kotlin
  • Java
  • Go
  • Distributed computing
  • Spark
  • 3D Point Cloud processing
  • PDAL
  • PCL
  • Open3D
  • NumPy
  • LiDAR data analysis

Location

  • United States
  • Illinois
  • Colorado
  • NYC
  • Remote

Work Type

  • Full-time
  • Remote

Experience Level

  • 6+ years of industry experience

Education Level

  • B.S., M.S., or PhD. in Computer Science or equivalent

Salary/Compensations

  • $193,800—$285,000 USD

Benefits

  • Opportunities for equity grants
  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off
  • Paid sick leave
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 11 paid holidays
  • Disability insurance
  • Basic life insurance
  • Family-forming assistance
  • Mental health program
  • Flexible paid time off/vacation (for salaried roles)
  • 80 hours of paid sick time per year (for salaried roles)

About the Company

  • DoorDash is a technology and logistics company whose mission is to empower local economies.
  • We are growing rapidly and changing constantly, offering opportunities to solve new challenges and own careers.
  • We are committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Equal Opportunity

  • We’re committed to growing and empowering a more inclusive community within our company, industry, and cities.
  • We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
  • No employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
  • We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
  • We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with applicable regulation.
  • If you need any accommodations, please inform your recruiting contact upon initial connection.