Job Description

Software Development

Working Student AI Research and Infrastructure Support (m/f/d)

================================================================================================


Contact
Your Rohde & Schwarz recruiting team is looking forward to receiving your application.



Info
City/region
Munich (Germany)
Entry level
Working students, Interns
Employment Type
Full-time / Part-time possible, limited
Ref. Number
14171

more
Join our Technology Incubation Division in München (Germany) at the earliest possible date.

Your tasks

--------------

Set up agent frameworks: Help with the installation and customization of AI agent tools. Benchmarking: Comparing the performance of AI models. Create data pipelines: Processing and transforming data to support the team. Provide multimodal tools: Integrating various data types for AI agents. Train classical ML models: Assist in training and validating models. Deploy inference services: Making models available in production. Monitoring and optimization: Participate in monitoring and improving model performance. Create documentation: Recording processes and results. Collaboration: Working with interdisciplinary teams. Evaluate technologies: Investigating new tools and methods in the AI field to support the team.

Exciting insights into Rohde & Schwarz

-------------------------------------------


Our colleagues provide insider information about:


Daily adventures and challenges Our passionate team The technologies behind the innovative projects and solutions

Your qualifications

-----------------------

Current studies of computer science or a comparable field of studies with interest in AI and Machine Learning. Python skills: Experience in programming with Python. Git skills: Experience in working with Git environments and its tools. REST services: Ability to implement and utilize RESTful APIs (e.g. FastAPI). MCP services: Familiarity with implementing Model Context Protocol (MCP) services (e.g. FastMCP). Knowledge of LLMs: Understanding of Large Language Models and embedding models. RAG knowledge: Experience with Retrieval-Augmented Generation (RAG) methods. Classical ML approaches: Basic knowledge of classical machine learning techniques. Docker skills: Experience with Docker for containerizing applications. Data processing: Knowledge in data processing and analysis. Teamwork: Ability to collaborate in interdisciplinary teams. Problem-solving skills: Strong analytical and problem-solving abilities. Very good command of written and spoken English

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: 14171

Recruiting contact: Emilia Kansik

Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.
Benchmarking: Comparing the performance of AI models.

Create data pipelines: Processing and transforming data to support the team.

Provide multimodal tools: Integrating various data types for AI agents.

Train classical ML models: Assist in training and validating models.

Deploy inference services: Making models available in production.

Monitoring and optimization: Participate in monitoring and improving model performance.

Create documentation: Recording processes and results.

Collaboration: Working with interdisciplinary teams.

Evaluate technologies: Investigating new tools and methods in the AI field to support the team.

", "identifier": { "@type": "PropertyValue", "name": "Rohde & Schwarz GmbH & Co. KG", "value": "14171" }, "datePosted": "2025-10-03T07:42:14.397+02:00", "employmentType": "FULL_TIME, PART_TIME", "hiringOrganization": {"@type":"Organization","contactPoint":{"@type":"ContactPoint","name":"Rohde & Schwarz GmbH & Co. KG"},"logo":"https://cdn.rohde-schwarz.com/image/market-segments/wireless-communications/over-the-air-icon-icon-rohde-schwarz_200_14568_12.svg","name":"Rohde & Schwarz GmbH & Co. KG","sameAs":"https://www.rohde-schwarz.com/us/home_48230.html"}, "jobLocation": { "@type": "Place", "address": {"@type":"PostalAddress","addressCountry":"DE","addressLocality":"Munich","postalCode":"81671","streetAddress":"Muehldorfstrasse 15"} } }

Our offer

-------------


Opportunities to work from home Flexible working hour models Attractive compensation Training & continuing education Parking spaces Occupational pension scheme Privately owned company Health care 30 days of vacation Company doctor Family services Promoting innovation Marriage and birth benefit Long-term & attractive work environment * Special payments