Help build and evaluate AI-powered tools, agents, and machine-learning solutions—including Generative AI and RAG—for Radio R&D workflows across software, hardware, and system engineering.
Collect, process, and analyze engineering data; support data pipelines and analytics platforms; and develop dashboards that give teams actionable insights while maintaining data quality and governance.
Collaborate with Radio domain experts to identify use cases and contribute to AI-enabled improvements in engineering analysis, design, testing, and knowledge discovery for 5G and future 6G.
Share findings with the team and continue developing your expertise in AI, data engineering, and Radio technologies.
## Job Description
You will bring
We provide a platform; what you contribute and the impact you drive is what matters. To make the most of it, don’t wait to be told. Lean in, ask questions, and take responsibility for your work and career. We value people who challenge conventional approaches and bring a genuine interest in data, AI, and applying intelligent engineering to Radio product development.
In addition, you have
A master’s degree in Computer Science, Artificial Intelligence, Data Science, Wireless Communications, Software Engineering, Automation, Electrical Engineering, Mathematics, Statistics, or a related field
Basic programming skills in Python, Java, C++, or similar languages, and an understanding of data structures, algorithms, and software engineering fundamentals
Knowledge of Machine Learning fundamentals and data analytics techniques
Basic understanding of Linux/Unix environments
Hands-on experience or a strong interest in Large Language Models, Generative AI, AI Agents, and Retrieval-Augmented Generation (RAG); familiarity with platforms or frameworks such as OpenAI, Azure AI, LangChain, Semantic Kernel, MCP, or similar ecosystems is highly desirable
Basic understanding of wireless communications, telecommunications networks, or Radio Access Network (RAN) technologies is a plus
Strong curiosity about AI, data, and emerging technologies, with excellent analytical and problem-solving skills
A self-driven, proactive, and collaborative approach, with clear communication skills and good written and spoken English
A willingness to experiment, innovate, and continuously learn
