Mission System Machine Learning Engineer AIRBUS

english:

We have been an established partner of the international aerospace industry for decades. At the same time, we are also active in many other areas of leading high-tech companies, including defense.

Our long-term corporate strategy is aimed equally at the satisfaction of our employees and our customers. We would therefore be pleased to welcome you to our highly qualified team at HESYS in the future.

For a project at our well-known, international customer AIRBUS in Manching, we are looking for you as a Mission System Machine Learning Engineer

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TASKS

In Platform Operational Support it is the development of software for mission support systems and services for all flying platforms in the portfolio such as Eurofighter, A400M, Eurodrone and FCAS. These systems are essential for the pilots of the aircraft to plan and prepare all the information they require during their flight like routes, sensor deployment or setup of communication networks.

Due to the increasing complexity of mission planning, a growing number of mission participants and the need to replan ever faster, new challenges arise for mission planning systems. The department meets these challenges with tailor-made software solutions, which are continuously optimised for efficient and effective mission planning processes.

The main tasks are:

Design, develop, and implement secure and efficient federated machine learning systems to train large language models across decentralized data sources

Collaborate cross-functionally with the research team to integrate cutting-edge LLM techniques into the products

Take over software engineering tasks throughout the life cycle of the development projects, including software design according to the provided requirements, software implementation, unit and integration testing

Work on software and interface design tasks considering aspects like feasibility, reusability, maintainability, safety, technical performance and IT-security

Live the agile values, continuously identifying and leveraging improvement potential and contributing to an increase of automation

Foster collaboration within the project team and with involved stakeholders