Intern (d/f/m) in AI driven software development

Posted Yesterday
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Manching, Bayern, DEU
In-Office
Internship
Aerospace
The Role
Support Flight Dynamics by researching and selecting open-source LLMs, setting up and testing self-hosted models, developing agentic AI for requirement-based software development, and integrating those agents into IDEs for secure, safety-critical software workflows.
Summary Generated by Built In

Job Description:

In order to support the Flight Dynamics Team, Airbus Defence and Space is looking for an

Intern (d/f/m) in AI driven software development

Are you looking for an internship and want to get to know the work of software developer and AI specialist? Then apply now! We look forward to you supporting us in Flight Dynamics as an intern (d/f/m)! 

  • Location: Manching

  • Start: 01.09.2026 

  • Duration: 6 months

General background and topic description

With the advent of very powerful computing platforms, the use of machine learning algorithms and AI models, the way of developing software is changing. Large Language Model (LLM) can be, and are being, used as tools to improve a software developer’s productivity by providing tailored suggestions and debugging hints. Although the quality of the output produced by AI models keeps increasing, it is not possible yet to rely entirely on the models and software developer have to review the code produced. Especially in the field of safety critical software, it is not possible to entirely delegate the task of software development and testing to AI tools. Within the department of Flight Dynamics, we develop and verify the design of the current and next-generation of fighter planes. Given the complexity of such systems, it is not possible to expect that engineers tackle their tasks without the help of software. However, all of the software tools developed in house must be developed according to requirements and validated. This task can be supported by AI tools that need to run locally to ensure the confidentiality of the data.

The main goal of the project is to set up an AI framework for requirement-based software development and testing. One of the main requirements is that the system must be entirely self-hosted. There is a plethora of open-source LLMs that are already developed and trained on generic data that can be tailored to the specific use case. The choice of the starting models will be based on the performance of the models in the different programming languages that are used within the team, as well as the ability of the models to understand existing requirements. If necessary, given the in-house hardware availability, it will be possible to further train the models on the available data. Additionally, agentic AI systems shall be developed integrating the LLM(s). Finally, integration of the agents into available IDEs shall be performed.

Your location

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

Your benefits
  • Attractive salary and work-life balance with a 35-hour week (flexitime).

  • International environment with the opportunity to network globally.

  • Work with modern/diversified technologies.

  • At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

  • Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities
  • Literature review on LLMs and agentic AI

  • Selection of possible implementation candidates

  • Set-up of the model(s)

  • Testing of the LLM(s)

  • Development/integration of agentic AI system for software development

  • Integration of agentic AI in IDEs

 Desired skills and qualifications
  • Enrolled full-time student in the area of Computer Science, Data Science, Software Engineering or an equivalent field of study.

  • Experience in one or more of the following languages: Python, Java, C/C++

  • Experience in Linux

  • Experience in machine learning and LLMs

  • Experience with Tensorflow/PyTorch is a plus

  • Self-organized, team-oriented way of working

  • Fluent in English

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

#MYCYM 

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space GmbH

Employment Type:

Internship

-------

Experience Level:

Student

Job Family:

Support to Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Skills Required

  • Enrolled full-time student in Computer Science, Data Science, Software Engineering or equivalent
  • Experience in one or more languages: Python, Java, C/C++
  • Experience in Linux
  • Experience in machine learning and large language models (LLMs)
  • Experience with TensorFlow or PyTorch
  • Self-organized, team-oriented way of working
  • Fluent in English

Airbus Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
  • Retirement Support Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
  • Leave & Time Off Breadth Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.

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The Company
HQ: Toulouse
52,655 Employees
Year Founded: 2014

What We Do

Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.

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