The posting, in Skydio's own words
archived Oct 30, 2026Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond .
About the role:
Autonomous drones are complex systems operating in uncontrolled environments. Onboard autonomy and hardware have to work together on every flight, along with the mobile and browser interfaces that control them. Testing these systems is one of the most critical parts of delivering a reliable product. We are looking for an experienced Software Automation Engineer to lead the Flight Test Automation Pod and scale how we validate autonomous flight. You will design and own automated test systems that run from CI through simulation, hardware-in-the-loop and real-world flight. You’ll bring AI-supported workflows into how tests are written, run and analyzed, and define how we measure test coverage, so every release ships with confidence. This position is part of the Product Integrity organization, which owns product quality from NPI through end of life across hardware and software. Your work will directly shape how quickly and reliably Skydio ships new capabilities to customers.
Read the full posting ↓
How you'll make an impact:
Lead the Flight Test Automation Pod: set technical direction, own the roadmap, and mentor engineers who contribute to automation Own automated test workflows across mobile, browser, and integrated hardware/software systems, from simulation to real-world flight Establish and own CI test pipelines that validate every build automatically and give developers fast, actionable feedback Design an extensible test framework that scales across teams, making it easy for engineers to add and maintain their own tests Apply AI-assisted and agentic workflows to test generation, failure triage and flight log analysis to speed up issue detection Define test coverage metrics tied to requirements and risk, and use them to drive our test strategy, reduce manual effort, and focus flight time where it matters most Partner with software, flight test, and reliability engineering leads to shape how testing is planned and prioritized