Your tasks

• Support NR Signaling Stack CI/CD improvements
• Participate in the design of a new CI/CD process
• Assist on implementation and integration of a new build framework
• Assist in integrating virtual UEs and Open RAN devices

Your qualifications

• Academic studies in computer science, informatics, electrical engineering or comparable fields of studies
• Good proficiency using AI (copilot, agents) for development and basic understanding of AI/ML concepts
• Good proficiency in Python as well as know-how on C++
• Fair understanding of conan, cmake and static code analysis tools like SonarQube
• A foundational understanding of DevOps practices and tools would be a plus
• Ability to work independently with a strong sense of ownership
• Good command of spoken and written English and/or German

Interested?

We are looking forward to receiving your application! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.

You must be properly enrolled for the duration of your employment. You can work up to 20 hours per week during the lecture period. Mobile working is possible - but your main place of work is Munich.

We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 16753
Recruiting contact: Verena Kral

At Rohde & Schwarz, we develop and produce solutions in the fields of Test & Measurement, Technology Systems, and Networks & Cybersecurity – driven by the vision of a safer and connected world. From software to final production, our more than 15,000 employees create products and systems that set global standards and enable technological sovereignty for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, also serves as our main development site.