Senior Autonomous Drones Engineer
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Engineering · Paris, France · Full-time · Senior level
The role centers on building the guidance, navigation and control systems for a new kind of autonomous airship, from modeling its flight dynamics to writing and testing the control laws in code. A strong candidate brings at least six years of GNC work in drones, aerospace or automotive, plus hands‑on skill with Simulink, Python and C/C++ and embedded hardware. The job also asks for someone practical who can debug sensors and actuators in the field and help prove the systems are safe to regulators.
How it fits the AI era
AI does not replace the core of this work, since the control laws, safety strategies and flight testing still depend on engineering judgment and physical intuition. What changes is the volume of flight data, which AI tools can help analyze to spot patterns and speed up tuning and validation. The human side stays in the modeling, the risk decisions and the field debugging when something misbehaves.
How it builds AI experience
Working here means gaining experience in applying data analysis to real flight logs from hydrogen airships and in feeding those insights back into control design. The company also runs AI that turns LiDAR, imagery and methane data into defect detection, so there is room to learn how autonomy and perception connect to the GNC stack. Building this starts with strong fundamentals in dynamics and embedded code, then adding practice in extracting insight from flight data.
Worth showing
- Python and C/C++
- Embedded flight computers
- Flight test and debugging
- Flight data analysis
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About HyLight
Autonomous, hydrogen-powered airships for zero-emission aerial inspection of critical energy and transport grids.
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