Werkstudent Softwareentwicklung (w/m/x)

Bayerische Motoren Werke Aktiengesellschaft; München; Hybrid; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A leading automotive company in Munich is seeking a working student to support AI-driven automated testing solutions. The role involves collaboration with the development team, researching AI techniques, and contributing to model design. Candidates should have a background in computer science or engineering and programming skills in languages such as Python. This position offers mobile work and potential student housing.

Leistungen

Mobile work

Apartments for students (subject to availability)

Qualifikationen

• Strong interest and knowledge in artificial intelligence and its applications.
• Basic understanding of requirements engineering concepts.
• Experience with AI technologies and familiarity with generative AI and agile methods is a plus.

Aufgaben

• Support collaboration with the development team to identify areas for AI in testing.
• Research and experiment with AI techniques for intelligent testing solutions.
• Contribute to designing AI models and algorithms for automation.

Kenntnisse

Interest in artificial intelligence

Programming skills in Python

Analytical abilities

Ausbildung

Studies in computer science, engineering or a related field

Tools

Machine learning frameworks

Natural Language Processing (NLP) frameworks

Jobbeschreibung

SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Our team at the BMW Group explores innovative AI solutions to enhance automated software testing for ECU software. During your working student position, you will work closely with our development team to research, experiment, and develop innovative approaches to improve the efficiency and effectiveness of our testing processes using AI technologies.

What awaits you?

• You will support collaboration with the development team to identify areas where AI can automate testing processes.
• Furthermore, you help to research and experiment with AI techniques such as machine learning and natural language processing for intelligent testing solutions.
• In addition, you contribute to designing and developing AI models and algorithms to automate test case generation, execution, and defect detection.
• Moreover, you will assist in evaluating and comparing different AI-based testing approaches and provide recommendations.
• You help to document and present your findings, methodologies, and results to the team.
• Additionally, you support the independent completion of tasks and receive regular feedback from your mentor.

What should you bring along?

• Studies in computer science, engineering or a related field.
• Strong interest and knowledge in artificial intelligence and its applications.
• Basic understanding of requirements engineering concepts.
• Programming skills in Python, Java or other relevant languages.
• Ability to support both independently and as part of a team.
• Experience with AI technologies (e.g. machine learning or NLP frameworks) and familiarity with generative AI and agile methods is a plus.
• Strong analytical and problem-solving abilities paired with excellent written and verbal communication skills.

Would you like to support our team in developing AI-driven automated testing solutions? Then apply now!

What do we offer?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Do you have questions? Then submit your inquiry easily via our contact form . Your inquiry will be answered by phone or email afterwards.

We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here .