Thesis AI Assisted Fault Injection (f/m/x)

BMW Group; München; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Digital offers & mobile working

Apartment offers for students (Munich)

Job summary

BMW Group's Penetration Testing team invites a Master’s student to perform AI-assisted fault injection on microcontrollers as part of a 6-month thesis project in Munich. You will evaluate fault susceptibility, implement secure countermeasures, and explore how AI can optimize parameter searches.

You should have solid C/C++ skills, knowledge of ARM assembly, and basic Python scripting; experience with side-channel attacks and cryptographic basics is a plus.

Qualifications

• Studying Electrical Engineering, Computer Engineering, Cyber Security, or a comparable field.
• Solid programming skills in C/C++, with basic knowledge of ARM assembly.
• Knowledge of Python, bash, or another scripting language.
• Basic understanding of implementing cryptographic algorithms.
• Experience using Agentic AI tools.
• Experience with side-channel or fault attack techniques.

Responsibilities

• Assist in evaluating microcontroller platforms regarding fault injection susceptibility.
• Implement examples of sensitive use cases (e.g., password comparison, signature verification) in C/C++.
• Analyze the timing of successful attacks on assembly level and use the data to create fault models.
• Use AI tools to optimize searching the attack parameter space.

Skills

C/C++ programming

ARM assembly

Python scripting

Cryptographic concepts

Agentic AI tools

Fault/in side-channel attacks

Education

Electrical Engineering / Computer Engineering / Cyber Security

Job description

Thesis AI Assisted Fault Injection (f/m/x)

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.

In our Penetration Testing team, which is part of the Automotive Cyber Security department, we search for vulnerabilities in Electronic Control Units (ECUs) and embedded microcontrollers. As the software on ECUs continues to become more secure, hardware attacks are gaining popularity in the automotive hacking scene. In your Master’s Thesis, you will perform fault injection attacks on microcontrollers, as well as evaluate countermeasures and suggest improvements to protect future control units from such attacks.

What can you expect?

• You will assist in evaluating microcontroller platforms regarding fault injection susceptibility.
• You will implement examples of sensitive use cases (e.g., password comparison, signature verification) in C/C++.
• You will analyze the timing of successful attacks on assembly level and use the data to create fault models.
• You will use a Large Language Model to optimize searching the attack parameter space.

What do you bring?

• Studying Electrical Engineering, Computer Engineering, Cyber Security, or a comparable field.
• Solid programming skills in C/C++, along with basic knowledge of ARM assembly.
• Knowledge of Python, bash, or another scripting language.
• Basic understanding of implementing cryptographic algorithms.
• Experience using Agentic AI tools.
• Experience with side-channel or fault attack techniques.

What do we offer?

• Digital offers & mobile working.
• Apartment offers for students (subject to availability & only Munich).

Earliest starting date: at the earliest from 11/02/2026

Duration: 6 months

Working hours: Full-time

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Thesis AI Assisted Fault Injection (f/m/x)

Legal Entity:

BMW AG

Location:

Job Field:

Electrics/Electronics

Job Id:

195799

Publication Date:

16.09.2026