Software Quality & Test Lead | Early Career Program

About this opportunity

What you will do

As a Software Quality & Test Lead, you’ll explore the end-to-end Radio Software lifecycle and how quality is shaped at every stage. You’ll work with experienced colleagues to connect software engineering and AI, and find smarter ways to build, verify and deliver software.

• Explore end-to-end Radio Software development: See how customer needs, requirements, design, development and testing shape software quality and customer experience.
• Turn AI opportunities into practical solutions: Identify useful engineering applications and build prototypes or automation to address real challenges.
• Improve software quality and delivery: Explore how AI, data, continuous integration and test automation can support development, verification and early quality assurance.
• Connect engineering with customer and business outcomes: Learn how technical decisions can affect quality, customer satisfaction, delivery time, cost and risk.
• Collaborate and share ideas: Work with global colleagues across software development, system engineering, verification and product management; present ideas and look for ways to improve how teams work.

You will bring

We believe your curiosity, technical foundation and willingness to learn will help you make the most of this opportunity. You are interested in telecommunications, software and AI, and want to understand how technology can solve real problems. You do not need to be an expert in every area: we value people who explore, ask questions and turn what they learn into useful results.

In addition, you have: 

• A recent master’s degree in Telecommunications, Computer Science, Software Engineering, Electrical Engineering or a related field.
• Knowledge of wireless communication, mobile networks or radio technology, with an interest in how communication systems work.
• Software development knowledge and hands-on programming experience, preferably in Python, C/C++ or a similar language.
• Familiarity with AI tools, including AI-assisted development or large language models, and interest in applying them to practical tasks.
• Curiosity, initiative and the ability to learn independently and adapt to new ideas.
• Clear communication and collaboration skills, including working with people from different technical and cultural backgrounds.
• An inclusive, global mindset and interest in contributing across teams and locations.
• Analytical problem-solving skills and a practical, hands-on approach.
• Excellent written and spoken English, with accountability and interest in the wider impact of your work.