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As a Ground Segment & AI Software Engineer, you are responsible for the design, development, integration and validation of the Software which will allow the Mission and Payload Management by making use of AI technologies, whereas possible. The Software will be partly developed internally within the team and will be partly subcontracted to internal and external Subcontractors. The application to be developed consists of a set of SW Modules which allow the simulation, commanding ad monitoring of a cutting-edge Payload, as well as the overall traffic configuration. You will be in charge of contributing to the definition of the Software requirements as well as performing general Software Design, Development and IVV tasks. Your range of tasks will cover the entire Software Development lifecycle, from Requirements definition, Software Design and IVV. Your activities will be performed in close cooperation with the System Engineers, the SW Architect, the SW developers and the sub-contractors.
Job Responsibility:
Analyse customer requirements and contribute to the definition of the adequate internal System, subsystem and Software requirements
Support the definition of the Software Architecture, ensuring robustness and compatibility with already existing software modules and eventually AI engines
Develop applicative solutions to enable smooth Mission Management, possibly making use of Airbus internal / external AI services
Support the coordination of the subcontractors, with particular focus on the Design phase
Conduct analysis on Software non-conformances, discrepancies and waivers
Analyse data from validation tests to determine whether systems and processes meet required criteria and specifications
Requirements:
Master’s degree in Computer Science, Electronics, Aerospace or other related Engineering
Experience in Software Architecture & Development, possibly in the field of GEO / LEO Mission Management topics (i.e. SCC, PCC concepts)
Experience in BackEnd / FrontEnd Software Architecture & Development principles and methods (UML, Spring Boot framework, OOP, micro services)
Experience with development or integration of AI engines in Software products
Experience with Software IVV tools and methods (i.e. Orchestration, CI/CD pipelines, E2E testing)
Knowledge of AGILE Development Lifecycle (Kanban, SCRUM, SAfE)
Ability to operate and efficiently communicate in a multi-national team organisation
English fluent
Nice to have:
Knowledge of modern Systems Engineering techniques and tools (MBSE, DOORS, EA, CAMEO)