We are currently seeking a passionate student in their final year of a Master's degree program to join our team for a paid curricular internship opportunity for thesis.
As an intern, you will investigate how modern AUTOSAR code generation technologies can be optimized to efficiently operate on resource-constrained embedded platforms. The project will explore the challenges and opportunities of deploying AUTOSAR-based software across a broad range of microcontroller architectures, from low-end devices with tight memory and performance constraints to more capable automotive-grade platforms.
The goal of this theis internship is to analyse the assumptions and dependencies embedded in AUTOSAR code generators, identify optimization opportunities, and develop methodologies to improve portability, scalability, and runtime efficiency across different hardware architectures. The project combines software architecture analysis, embedded systems engineering, performance optimization, and practical experimentation.
If you are interested in embedded systems, automotive software, code generation technologies, software optimization, and software architecture portability, we encourage you to apply and become part of our dynamic team!
You will…