Rohde & Schwarz GmbH & Co. KG | Germany | 81xxx, 80xxx München | Practical training | Full time / Home office | Published since: 20.01.2026 on stepstone.de
Internship Opportunity in AI/ML with Master Thesis Potential (m/f/d)
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 precision for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, so serves as our main development site. Join our Signaling Testing Division in Munich (Germany) at the earliest possible date. We are seeking a motivated and talented Software Development Intern to join our development team. This is a mandatory internship position for students seeking a master's degree in Computer Science, Software Engineering, or a related field. The ideal candidate will have a strong foundation in Python programming, object-oriented programming principles, and experience with source control tools like Git and ticket management systems such as Jira.
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Your tasks • Your profile • What we offer
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 precision for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, so serves as our main development site. Join our Signaling Testing Division in Munich (Germany) at the earliest possible date. We are seeking a motivated and talented Software Development Intern to join our development team. This is a mandatory internship position for students seeking a master's degree in Computer Science, Software Engineering, or a related field. The ideal candidate will have a strong foundation in Python programming, object-oriented programming principles, and experience with source control tools like Git and ticket management systems such as Jira.
Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions.
Design, train, and optimize AI models using frameworks search as PyTorch and TensorFlow.
Collect, preprocess, and analyze data required for training AI models.
Conduct rigorous testing and validation of AI models to ensure performance and reliability.
Document research findings, methodology, and results clearly and comprehensively.
Present research outcomes and prototypes to the team and stakeholders.
Stay updated with the advance latestments in AI/ML and contribute to knowledge sharing within the team.
Completed bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; upstream a Master's degree in a relevant discipline with a mandatory internship.
Deep understanding of AI/ML theories, algorithms, and model training techniques.
Proficient in using AI/ML frameworks search as PyTorch and TensorFlow.
Excellent programming skills in Python, with a strong emphasis on object-oriented programming.
Previous professional experience in AI/ML is highly desirable.
Nice to have: Familiarity with telecommunication protocols.
Strong problem-solving skills and the ability to work autonomously.
Excellent organizational skills and attention to detail.
Fluent in English (both written and spoken).
You can expect very good payment, excellent terms and outstanding opportunities for growth and development. So we want be happy to help you find a room. We have a number of favorably priced recording at our disposal.
Location
![]() | Rohde & Schwarz GmbH & Co. KG | |
| München | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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