Autonomous Guidance & Control Engineer

TalentLyft; Madrid; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

TalentLyft is partnering with an early-stage European defence-tech company developing autonomous robotic systems for real-world operational environments. You will own guidance, control and trajectory optimization algorithms for autonomous systems, with emphasis on executing reliable trajectories in dynamic settings.

We seek an engineer with a strong mathematical background who can translate theory into real hardware, work across state estimation, simulation and real-world validation, and

Formación

• Strong background in applied mathematics, control theory, algorithms or a closely related engineering discipline.
• Experience developing guidance, control, trajectory planning or optimization algorithms.
• Solid understanding of optimal control and the mathematical principles behind dynamic systems.
• Strong programming skills in Python, with the ability to translate mathematical concepts into working algorithms.
• Experience with MATLAB/Simulink, C++ or similar engineering and scientific computing tools.
• Ability to work independently on complex mathematical and engineering problems.
• Interest in developing algorithms for real autonomous systems, beyond purely theoretical research.
• Comfortable working in English within a multidisciplinary engineering team.

Responsabilidades

• Design, develop and improve guidance and autonomy algorithms for autonomous systems.
• Work on trajectory generation, planning and optimization accounting for dynamics and constraints.
• Develop and implement state estimation and navigation algorithms.
• Build, test and refine algorithms in simulation before hardware validation.
• Collaborate with robotics, perception and embedded engineers to integrate algorithms into the autonomous system.
• Take responsibility for algorithms from formulation to testing and real-world validation.

Conocimientos

Python

Mathematics

Control theory

Algorithms

Independent work

Herramientas

MATLAB/Simulink

C++

ROS2

ArduPilot

Descripción del empleo

TalentLyft is partnering with an early-stage European defence-tech company developing autonomous robotic systems for real-world operational environments. You will own guidance, control and trajectory optimization algorithms for autonomous systems, with emphasis on executing reliable trajectories in dynamic settings.

We seek an engineer with a strong mathematical background who can translate theory into real hardware, work across state estimation, simulation and real-world validation, and