Senior Software Engineer, Behavior Planning

Aerovect·United Kingdom (Remote)Remotesenior

In short

→Ingeniero de software sénior que diseña sistemas de toma de decisiones para vehículos autónomos en aeropuertos.
→Trabajas con algoritmos avanzados en C++ y Python, probándolos en simulaciones y entornos reales.
→Destacan los escenarios dinámicos y de alta frecuencia en áreas de vuelo con múltiples agentes (aviones, vehículos, personas).

No se requiere inglés explícitamente, pero el puesto se publica en inglés.

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What they ask for

✓Experto en C++ moderno (11/14/17) y programación orientada a objetos
✓Habilidad en Python para prototipado y pruebas
✓Experiencia en algoritmos de planificación de comportamiento (máquinas de estados, árboles de comportamiento)
✓Conocimiento de algoritmos de planificación de rutas (A*, RRT, D*)
✓Dominio en depuración, perfilado y optimización de código
✓Título de maestría en Ciencia de la Computación, Robótica o campo relacionado

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C++PythonROSROS2A*RRTD*State MachinesBehavior TreesProbabilistic Planning

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Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. com . We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. Tech Lead and works closely with the autonomy engineering team.

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