11 ott - Torino
Altro
At ETAS GmbH, a wholly owned affiliate of the Bosch Group, we shape the future of mobility by developing embedded systems and cloud-connected solutions at the core of the modern assisted, software-defined, and autonomous driving landscape. Engineering services, consulting, training, and support activities complete our toolbox to achieve the mission of making everyday life safer and better.
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.
You will Learn about the architecture of modern AUTOSAR Classic code generation toolchains
Analyse generated AUTOSAR software and identify optimization opportunities related to memory footprint,
CPU utilization, and code size
Develop proof-of-concept solutions demonstrating how AUTOSAR components can be optimized for resource-constrained embedded platforms
Define a methodology for evaluating software portability and efficiency across different microcontroller architectures
Investigate platform-specific assumptions in generated source code and propose architectural improvements
Perform measurements and benchmarking activities to assess the impact of different optimization strategies
Work together with experienced software developers who will mentor and guide you throughout your journey
Have the opportunity for potential full-time employment upon successful completion of the internship
Key qualifications Enrolled in the final year of a university master’s degree program , preferably in Embedded Systems, Software Engineering, Electronic Engineering, or a related field.
Strong programming skills in C.
Good knowledge of embedded systems and computer architecture.
Understanding of operating systems and real-time concepts.
Analytical mindset and interest in low-level software design.
Ability to work independently and collaboratively in a team environment.
At least B2 level of English and at least B2 Italian.
Preferred qualifications Experience with microcontrollers and embedded toolchains
Knowledge of automotive software concepts
Familiarity with AUTOSAR, Real time OS, compiler technology
Interest in performance optimization and software architecture
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