Lendurai OÜ

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 a 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.
• Sensor fusion & estimation — Kalman variants, factor graphs, Bayesian filtering.
• Computer vision — feature tracking, optical flow, homography, depth estimation.
• Digital comms & electronics — UART, SPI, I²C, CAN-FD, logic-analyzer debugging.

What we offer

• Monthly gross salary €3,500-6,000 based on experience and impact
• Stock options
• A mission-driven team that values ownership, curiosity, and a hands-on approach to solving defense challenges
• Early technical influence in a growing defense tech startup
• A focus on outcomes

Join Lendurai to be part of the forefront of defence technology innovation.

About the company and the role

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 a Computer Vision Engineer you’ll work on building up the AI stack that lets our aircraft understand the world in GNSS-denied airspace, based purely on visual perception. You will work on implementing, maintaining, and improving computer vision components, ensuring they are reliable, efficient, and production-ready.

What you will be doing

• Designing, implementing & improving core CV modules: visual odometry, SLAM, obstacle detection, terrain recognition, scene recognition, etc.
• Designing and training neural networks for real-time inference on embedded GPUs/NPUs, as well as specialized SOMs and NN accelerators
• Collaborating across the full drone software stack — perception, control, planning, simulation

You also might learn to fly drones: although we have a team of skilled pilots, hands-on testing can be useful for making sure your code is properly integrated.

We are looking for 

Required skills:

• Strong C/C++ and Python programming skills
• Theoretical and applied knowledge of computer vision algorithms
• Strong grounding in deep learning architectures and applications

• Track record of designing complex systems that operate outside the lab

   

Additional skills that are nice to have:

• Experience with Pytorch, OpenCV
• UAV or robotics background (work experience or education)
• Experience with deploying neural networks on resource-constrained, real-time systems (mobile / embedded / robotics)

What we offer

• Monthly gross salary €3,500-7,000 based on experience and impact
• Stock options
• A mission-driven team that values ownership, curiosity, and a hands-on approach to solving defense challenges
• Early technical influence in a growing defense tech startup
• A focus on outcomes

Join us if you’re excited by real-world impact, rapid iteration, and contributing to technologies that help defend Europe.