Airbus Upnext Spain- Uas Airborne Planning And Decision-making Lead (m/f)
AIRBUS DS GEO SA
Getafe, Spain
Fully remote
Autonomous decision-making development
Uas autonomy architecture design
Systems integration, validation & verification
Lead the technical development, implementation, and verification of the onboard autonomous decision-making function, including trajectory planning and replanning algorithms and autonomous malfunctions management
Job Summary
Lead the technical development, implementation, and verification of the onboard autonomous decision-making function, including trajectory planning and replanning algorithms and autonomous malfunctions management.
Contribute to the design of a generic, modular, open systems hardware and software architecture to deploy flight functions in multiple Airbus UAS platforms.
Play a key part in a project at the forefront of the development of technology to enable UAS flight and open the way for complex missions.
Matching Summary
Lead the technical development, implementation, and verification of the onboard autonomous decision-making function, including trajectory planning and replanning algorithms and autonomous malfunctions management.
Skills & Requirements
Must-have
Autonomous Decision-Making development
UAS Autonomy Architecture Design
Systems Integration, Validation & Verification
trajectory planning and replanning algorithms
AI algorithms
Flight Management and GNC
Nice-to-have
startup-like environment
holistic systems thinking mindset
eagerness to take initiatives
healthy skepticism for progress
transparency, humility & empathy
Willingness to have fun
Key Requirements
Airborne software and hardware expertise
Experience with classical and modern AI algorithms
Expertise in trajectory planning and optimization
Strong background in Flight Management and Guidance, Navigation and Control (GNC)
Proficiency in Modeling and simulation
Knowledge and experience on airspace operations
Proven experience in systems engineering environments
Knowledge and experience with certification frameworks
Demonstrated ability to work in multi-disciplinary engineering teams