Student for Bachelor's Thesis: Use of AI in CAD Templates

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Number: MER00046KQ Bachelor's thesis: Concept of an LLM connector for automating the application of parametric CAD templates for digital interpretation of vehicle concepts The “CAD & Mechanical Engineering” team develops new constructive methods that can quickly react to styling changes in early development phases. In today's vehicle development process, the vehicle concept designed by the design is tested for technical feasibility by the responsible departments. For example, in order to digitally secure the door concept, parametric CAD models of the passenger car side doors are used, with which the window geometry and the design of the window lifters can be designed, among other things. In order for these complex CAD models to be used in a series-crossing manner, You are constructed as so-called CAD templates. The assisting approach of KI looks promising to support the automation of the application of the templates. This is why the bachelor's thesis is intended to investigate the use of AI in the preparation of automated execution of the backup and evaluation of the results. As part of the Bachelor's thesis, requirements of the LLM-Tool Connector are to be determined. A concept of architecture, as well as tool proposals will be developed. Based on this, a prototype of the LLM tool connector is to be developed. Finally, the LLM tool connector is to be tested and validated using selected test scenarios. These challenges come to you: Processing into existing CAD models of backup concepts

Self-employed work on developing an LLM tool Connector

Conducting tests with selected CAD protection concepts

Evaluation of the results and creation of proposals for improvement o.g. CAD AI Integration

The final topics will be discussed with the university, you and us. The activity can begin from September 2026.

Course: Computer Science, or a comparable degree programme

Knowledge of Siemens NX, VS Code, C#, Python

Knowledge in AI Integration

Experience in creating parametric CAD models with Siemens NX

Secure knowledge of German and English in word and writing

Analytical thinking and independent working

Commitment and team skills

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with an indication of the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. People Solutions will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

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