At Lendurai, we enable unmanned aerial vehicles (UAVs) to operate independently of global navigation satellite systems and radio control, using computer vision and machine learning. We partner with multiple UAV manufacturers to deliver cost-effective capabilities to public sector and defence customers. Our team has deep experience in aerospace engineering, defence tech, and autonomous systems, with backgrounds at companies like Bolt (EE), Open Cosmos (UK), and Starship Technologies (EE).
As an early control-systems engineer you will own the algorithms that keep our drones stable, responsive, and mission-capable without satellite guidance.
What you will be doing
Design, implement, and tune real-time flight-control algorithms (attitude, position, and trajectory loops) targeted at GNSS-denied missions.
Develop high-rate state-estimation and sensor-fusion pipelines that blend IMU, barometer, optical flow, VIO, and SLAM data.
Port and optimise these pipelines on flight computers (Jetson Orin, Raspberry Pi CM5, i.MX 8M plus) under real-time constraints.
Extend and customise PX4 or write bare-metal control stacks where needed.
Create Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) test environments; iterate rapidly between simulations and field flights.
Instrument test vehicles, run flight campaigns, and mine logs to improve robustness in wind, vibration, and electromagnetic interference.
We are looking for
Required skills:
Proficiency in C++14 and C99 (or newer).
Proficiency in Linux environments.
Hands-on experience with Linux SBCs such as Raspberry Pi, BeagleBone, or similar.
Nice to have:
Previous experience with embedded systems, especially STM32 microcontrollers.
Hands-on experience with PX4, ArduPilot, or custom flight-control firmware.
Practical knowledge of RTK-GPS, UWB, or vision-based localization frameworks.
Additional skills that are advantageous:
Control theory — PID, LQR, observers, pole/zero placement, robustness analysis.
