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# Master Thesis - Creation of an Optimized Lowering Mechanism for Trained Machine Learning Models iv)

- **Company:** Infineon Technologies AG
- **Location:** München, Germany
- **Contract:** Internship / Graduate position
- **Skills:** Code Generation, Computer Programming, Embedded Software, Python (Programming Language), Machine Learning, Software Engineering, Toolchain, Information Technology, Programming Languages
- **Published:** June 19, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=ff5348678bd75065

## About the Role

* Study Field: Master's student in Computer Science, Electrical Engineering, or similar
 * Experience: Experience with software development and code generation
 * Skills: Strong Programming skills in Python and programming skills in C or Rust
 * Knowledge: Good understanding of programming and programming languages
 * Personality: Excellent problem-solving skills and attention to detail
 * Way of working: Ability to work independently and collaboratively in a team
 * Availability: You are available for an upfront internship to get familiar with some of techniques before the thesis starts
 * Language skills: Fluent English skills, both written and spoken; German is a plus

Please attach the following documents to your application:

 * CV in English
 * Certificate of enrollment at university
 * Excerpt of the study regulations for the thesis (if applicable)
 * Latest grades transcript (not older than 6 months)
 * High school report

## Description

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?, * Model Transformation Development: Studying different approaches towards turning machine learning models into executable code for embedded devices

 * Model Abstraction Design: Research and design a formal abstraction to capture a tool independent view of the underlying models
 * Code Implementation: Research and implement a transformation from the models into executable embedded code via an existing tool chain
 * Team Collaboration: Collaborating with our team to ensure a smooth integration and knowledge transfer


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