Active Control Functions & Artificial Intelligence Leader (AI)

Location: Toulouse Area, Toulouse (Saint Martin), France; onsite

Company

hirify.global operates as a startup-style innovation organization within Airbus, developing flight-proven technologies for future commercial aircraft programs.

What you will do

• Own the end-to-end roadmap and architecture for Active Control Functions on the demonstrator platform.
• Define and arbitrate top-level functional requirements across Overall Aircraft Design, Flight Control Systems, sensors, and data science.
• Lead the deployment of AI capabilities, including coordination with Airbus AI initiatives and strategic partners.
• Support aircraft-level trade-offs for active control applications and drive multidisciplinary technical convergence.
• Report progress, communicate AI strategy, and present flight-test results to executive stakeholders.

Requirements

• Master’s degree or PhD in aerospace engineering, automatic control, flight physics, computational sciences, or a related field.
• Strong background in Overall Aircraft Design, flight dynamics, aeroelasticity, or flight control systems.
• Hands-on experience or strong working knowledge of machine learning applied to physical systems, such as surrogate modelling, CFD or loads neural networks, and real-time data fusion.
• Experience deriving multidisciplinary system requirements and working with flight-test operations, telemetry exploitation, or hardware-in-the-loop validation.
• Strategic vision, high autonomy, and cross-functional leadership skills, including influencing without direct authority.
• Fluent English is mandatory, with strong presentation skills for communicating complex technical concepts to executive audiences.

Culture & Benefits

• Startup-style environment backed by Airbus expertise and resources.
• Fast experimentation, agile execution, and pragmatic decision-making.
• Collaboration with international teams and worldwide partners.
• Fixed-term CDI-C contract linked to the demonstrator deliverable, with an estimated end date of July 2029.
• Flexible working arrangements are supported where possible.