
Autonomy Software Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€2,290–€14,470). The listed pay band (€408–€671) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 403 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Global | €2,290/per month | €6,474/per month | €14,470/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €408/per month | €539/per month | €671/per month |
Skydio 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: As an Autonomy Engineer, your primary goal will be to make our autonomy system more capable and more reliable for all of our customers. You will own developing new autonomous capabilities end-to-end and deploying these capabilities to customers tackling a wide range of use cases, including inspection & mapping, drone-as-first-responder (DFR), security/patrols, situational awareness, and more. These represent some of the first real-world deployments of truly autonomous robots performing valuable tasks in large and critical industries. How you'll make an impact: Build cutting-edge autonomous capabilities through tight cross functional collaboration with our vision, planning & controls, deep learning, infrastructure, embedded, cloud, mobile, design, product, and flight test teams. Develop core robotics algorithms to expand our autonomous operational envelope in challenging environmental conditions, including night time, in urban canyons, in areas of GNSS and C2 interference, at sea, and in precipitation. Triage customer issues, recognize trends, and rapidly make our system more resilient to failures seen in the field. Research investments in simulated and in-real-life test infrastructure. Develop a deep understanding of core robotics principles coupled with a full understanding of how our system works. Help out across the full software stack when needed, maintaining the highest standards for code quality and proactively addressing tech debt. Conceive, design, implement, simulate, evaluate, and fly new motion planning strategies to extend capabilities and improve customer experience.
Job Details

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