Master Thesis Automated Driving Systems

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Job Description

• During your assignment, you will implement, integrate and evaluate cutting-edge algorithms along the complete stack of an Automated Driving System, focusing on perception or function and planning modules.
• The technological focus will be on Machine Learning, including End-to-End systems and Foundation Models, such as Vision Language Models (VLM) and Vision Language Agents (VLA).
• Your algorithms will run in real time on a prototype test vehicle.
• In addition, you will realize a system-driven evaluation in a system-in-the-loop simulation and on defined reference tracks.
• Last but not least, you will work in an agile and diverse research team.

Qualifications

• Education: Master studies in the field of Computer Science, Robotics, Engineering or comparable with excellent grades
• Experience and Knowledge: excellent programming skills in Python and C++; knowledge of ROS and Machine Learning libraries is a strong plus
• Personality and Working Practice: you are ahighly motivated, flexible team player
• Languages: fluent in English and ideally good in German

Additional Information

Start: according to prior agreement
Duration: 3 - 6 months

Optionally, we can support an internship preceding the offered thesis.This option would allow you to gather a still broader understanding in the field of automated driving.

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Thomas Michalke (Functional Department)