R&D; – Computer Vision Engineer

Drones, guidance, interception, computer vision… if your idea of fun is turning cutting‑edge maths and deep learning into real‑world flight paths for Unmanned Aerial Systems (UAS), this might be your next playground.

You won’t just tweak models – you’ll help design the brains and eyes of autonomous drones from first principles.

About the role

You’ll join a small, highly technical R&D; team at Thalanor, working at the intersection of Optimal Control Theory, computer vision and autonomous navigation for UAS.

Your mission is to improve and invent algorithms for guidance and vision, taking state‑of‑the‑art ideas and pushing them further for interception and object detection in complex environments.

On the vision side, you’ll work with deep learning–based object identification, including Long‑Short‑Term Memory vision models where they make sense, to boost accuracy and robustness.

On the autonomy side, you’ll contribute to guidance algorithms grounded in Optimal Control Theory,



designing interception strategies and refining trajectories for real drones in the field.

What you’ll be doing

· Researching and prototyping new algorithms in computer vision and guidance, starting from the latest literature and then adapting, combining or inventing methods that work in practice.

· Implementing these algorithms in code, iterating quickly from experiments to working modules that can be integrated into our drone systems.

· Working with concepts such as interception trajectories and statistical filtering (for example, Kalman Filter, Extended KF and Unscented KF) to improve the stability and performance of the overall system.

· Collaborating closely with other engineers in a startup‑like environment, where autonomy, proactivity and the ability to “figure things out” are essential.

You’ll spend most of your time in hands‑on R&D;: reading papers, testing ideas, and turning promising approaches into robust, maintainable code.

If you enjoy moving

📌 Computer Vision (Madrid)
🏢 Talento Cientifico
📍 Madrid