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# Master Thesis Evaluation of Hardware-Accelerated MACsec for Secure gPTP in Automotive TSN Networks

- **Company:** Robert Bosch GmbH
- **Location:** Schwieberdingen, Germany (Remote available)
- **Contract:** Internship / Graduate position
- **Skills:** Reference Implementation, C++ (Programming Language), Linux, Python (Programming Language), Computer Network Technologies, Information Technology, Low Latency
- **Published:** September 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=44a1d88c5084f49e

## About the Role

* Education: Master studies in the field of Electrical Engineering, Computer Science, Communications, or a comparable engineering discipline with very good grades
 * Experience and Knowledge: solid programming skills in C/C++ and Python; good knowledge of Linux and embedded systems; proven involvement in a student project and/or internship
 * Personality and Working Practice: you are motivated to work on a research-oriented engineering topic and eager to discuss technical challenges and results with strong communication skills
 * Work Routine: our hybrid model provides you with a balanced mix of on-site presence and flexible remote work (60% office and 40% remote)
 * Enthusiasm: passionate about exploring new networking technologies, hardware platforms, and technical documentation
 * Languages: fluent in English; German is a plus

## Description

* You will set up an automotive Ethernet network supporting gPTP and hardware-accelerated MACsec.
 * As part of the validation process, you will verify that gPTP communication is effectively protected by MACsec and operates correctly.
 * In addition, you will quantify the impact on clock offset, peer delay, synchronization stability, convergence, latency, and jitter.
 * Where feasible, you will compare hardware MACsec with a Linux software-MACsec reference implementation.