Airbus Protect - AI Critical Systems Certification Engineer (All Gender)
Core
Ensuring AI system compliance with aviation safety regulations (EASA, FAA) and developing end-to-end ML models for critical embedded avionics systems.
Role type
Senior IC AI Critical Systems Certification Engineer
Builds
Certified AI systems for aviation and embedded ML models
Domain
Aerospace / Aviation Safety / Regulatory Compliance
Deliverable
production ML models
Required skills
PhD in AI & Mathematics or Aerospace Engineering degree, 3+ years in critical AI system development, knowledge of EU AI Act/ISO/EUROCAE/EASA/FAA regulations, ML algorithm design and validation, embedded ML data structures, system engineering
Preferred skills
Experience in avionics system engineering, research background in AI safety and critical systems
Technologies
Embedded ML frameworks, System Engineering tools
Responsibilities
Map compliance means (MOCs) to aviation safety regulatory frameworks, collaborate with Data Scientists to validate AI system compliance, translate MOCs into technical AI requirements, work on end-to-end ML model design and optimization for embedded systems, collaborate with R&D organizations on applied research topics
Seniority
Senior, hands-on IC
