Drone Flight Test Ground Support Operator

DoorDash, Inc.; Bay Point (CA); On-site; USD 33,000 - 48,000; Full time

Benefits offered by this job

401(k) match

Paid parental leave

Wellness benefits

Commuter benefits match

PTO & sick leave

Medical benefits

Dental benefits

Vision benefits

Paid holidays (11)

Job summary

DoorDash Labs in Bay Point, CA is seeking a UAS Ground Support Operator to join a hands-on field testing team. You will support flight validation of new drone platforms, keep aircraft ready to fly, and operate ground systems safely. This onsite role reports to the Flight Test Lead.

Expect to handle on-site logistics, weather-exposed field work, and occasional early morning or after-hours testing. Travel up to ~20% and collaboration with cross-functional teams to surface observations and drive

Qualifications

• Part 107 certification is required.
• No UAV experience is required, but the Part 107 license is required.
• Role onsite in Bay Point, CA; local commuting distance preferred.

Responsibilities

• Support flight testing, data collection, and troubleshooting for new drone systems.
• Work with operations teams to surface observations and improve operational performance.
• Gain hands-on experience in emerging technology within a fast-paced, iterative team.
• Collaborate with cross-functional teams to surface observations and drive improvements during testing.

Skills

Field testing

Operations

Safety awareness

Data collection

Problem solving

Team collaboration

Education

Part 107 certification

Tools

Flight test equipment

Ground systems

Job description

DoorDash Labs in Bay Point, CA is seeking a UAS Ground Support Operator to join a hands-on field testing team. You will support flight validation of new drone platforms, keep aircraft ready to fly, and operate ground systems safely. This onsite role reports to the Flight Test Lead.

Expect to handle on-site logistics, weather-exposed field work, and occasional early morning or after-hours testing. Travel up to ~20% and collaboration with cross-functional teams to surface observations and drive