Rocket Factory Augsburg - RFA

Intern (f/m/d) AI Software Engineer

Stellenbeschreibung:

At Rocket Factory Augsburg (RFA) we have one goal: create low-cost, flexible and reliable access to space. We specialise in the creation of small launcher solutions designed for deploying satellites into Low Earth Orbit (LEO) and beyond. Together with you, we want to revolutionise space services and help enhance life on Earth. Sounds interesting? Then join our journey and be part of the team leading the New Space movement in Europe!

Intern (f/m/d) AI Software Engineer

Our Flight Safety team is searching for a motivated intern available for more than 3 months (ideally 6+). The intern will support the implementation of machine learning in their workflow. The use of machine learning algorithms can be used in the optimisation of the parametrisation of simulations, used from Mission design to flight operations.

Responsibilities

  • Researching, developing, and implementing ML algorithms and models and AI solutions
  • Designing and building scalable ML systems and AI solutions
  • Running experiments, testing AI systems, and performing statistical analyses to improve model accuracy
  • Managing data pipelines (CI/CD) and ensuring data quality
  • Build and maintain software systems that interact with other departments
  • Pre‑process, analyse and post‑process complex simulations
  • Develop tools that allow for frequent and dependable software deployment, test execution, and data analysis as components of a continuous integration and release system

Qualifications

  • Enrolled in a university for the duration of internship
  • Bachelor's degree in Computer Science, Engineering, Math, or 2+ years of professional experience in software development in lieu of a degree
  • Demonstrated experience in applied machine learning engineering, full stack development, and data science through extracurricular activities
  • Demonstrated development experience in C, C++, or Python through extracurricular activities
  • Experience with machine learning frameworks: TensorFlow, Keras, scikit‑learn, PyTorch
  • Fluent English oral and written (all day‑to‑day activities are performed in English)
  • Experience with developing within Linux server environments, SSH, scripting, and configuration
  • Background in aerospace is a plus

Benefits

  • Experience life in an international New Space start‑up
  • Flexible working hours to fit your needs
  • WellPass training app to connect you to thousands of gyms and studios
  • Free parking for your car and your bike
  • Join our self‑organized after‑work activities or company events and become part of the RFA family

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Apr 2026
  • Standort:

    Augsburg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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