We’re partnering with an early-stage European defence-tech company developing autonomous robotic systems for real-world operational environments.
The team is building next-generation autonomy technology, with a current focus on aerial robotics and counter-drone systems. Their work combines advanced algorithms, robotics, perception, control and physical hardware to create autonomous systems capable of operating reliably in complex and dynamic environments.
We’re looking for an engineer with a strong mathematical and algorithmic background who wants to take ownership of the guidance and control algorithms behind autonomous robotic systems.
This is an opportunity to work on challenging engineering problems where mathematical models and algorithms must ultimately perform on real hardware
What you'll own:
- Guidance & autonomy algorithms: Design, develop and improve algorithms that enable autonomous systems to make decisions and execute reliable trajectories in dynamic environments.
- Trajectory generation & optimization: Work on trajectory calculation, planning and optimization,



accounting for system dynamics and operational constraints.
- Optimal control: Develop and implement control algorithms using classical or modern approaches, translating mathematical models into practical solutions.
- State estimation & navigation: Contribute to algorithms that estimate the system's state and support reliable guidance and control using available sensor information.
- Simulation & validation: Build, test and refine algorithms in simulation before integrating and validating them on physical robotic platforms.
- Real-world integration: Collaborate with robotics, perception and embedded engineers to ensure algorithms operate reliably as part of the wider autonomous system.
- Technical ownership: Take responsibility for your algorithms from mathematical formulation and prototyping through implementation, testing and continuous improvement.

Who we are looking for:
- Strong background

📌 Guidance & Control Algorithms Engineer - TalentLyft (Madrid)
🏢 TalentLyft
📍 Madrid