Master Thesis GPT and Quantum Machine Learning (f/m/x)

BMW Group; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading automotive technology firm in Munich is seeking a motivated intern to work on quantum computing applications. You will support the design and implementation of frameworks for processing LLM outputs while collaborating with industry experts. Strong programming skills in Python are essential, along with knowledge of quantum machine learning. The internship offers comprehensive mentoring, flexible working hours, and attractive compensation.

Leistungen

Comprehensive mentoring & onboarding

Personal & professional development

Flexible working hours

Mobile work

Attractive & fair compensation

Apartments for students (subject to availability)

Aufgaben

• Support designing and implementing a framework for LLM outputs to quantum circuit generation.
• Develop, test, and benchmark prototype workflows for quantum machine learning applications.
• Evaluate performance and scalability across quantum backends and simulation environments.
• Assist in collaboration with QUTAC industry experts and BMW research teams.
• Document results and derive academic insights.

Kenntnisse

Strong programming skills in Python

Experience with deep learning frameworks (PyTorch, JAX)

Interest in quantum machine learning

Analytical mindset

Excellent command of English

Ausbildung

Studies in computer science, physics, mathematics, engineering or related field

Tools

Quantum libraries (PennyLane, Qiskit)

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 digital innovation across all technology domains, from cloud and AI to quantum computing. As part of the Innovation, Emerging Technologies department, you will support our collaboration with leading industrial and academic partners to advance next‑generation computing paradigms. This thesis is conducted within the QUTAC consortium, working closely with industry experts and BMW research teams.

What awaits you?

• You will support designing and implementing a framework that connects LLM outputs to quantum circuit generation.
• Furthermore, you help to develop, test, and benchmark prototype workflows for quantum machine learning applications.
• In addition, you contribute to evaluating performance and scalability across quantum backends and simulation environments.
• Moreover, you will assist in close collaboration with QUTAC industry experts and BMW research teams.
• You will help to document results and derive academic insights suitable for publication.

Please note that your thesis must be supervised by a university on your part.

What should you bring along?

• Studies in computer science, physics, mathematics, engineering or a related field.
• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch or JAX and quantum libraries like PennyLane or Qiskit.
• Background or strong interest in quantum machine learning or hybrid AI‑quantum methods.
• Analytical mindset, curiosity for emerging technologies, and ability to support research activities.
• Excellent command of English (spoken and written).

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/whatweoffer

Start date: 01/12/2026

Duration: 6 months

Working hours: Full-time

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.