About this role
Company description
Ericsson AB
Job description
Join our Team About this opportunityEricsson’s Early Career Program is an 18-month journey for you who are recently graduated or have up to five years of relevant experience. Through three rotations, including one international and market exposure, you will tackle challenges that matter, work alongside people who expect you to contribute, question, and move things forward. The Innovate track is designed for you who are driven by building what’s next. You’ll rotate across Research, Product Development, Data, and AI contributing to solutions that don’t just support the business but move it forward. Your journey within the Innovate Program will start as Test & Lab Transformation Driver.
What you will doDrive Test and Lab Efficiency across Programs and, where relevant, across organization. You will secure the 2027 objectives are addressed by practical improvements, using ongoing and emerging AI transformation results to make test and lab activities more efficient and scalable.
- Translate strategic objectives into clear priorities and initiatives.
- Identify where AI transformation can improve efficiency, scalability and quality in test and lab work.
- Align stakeholders across Programs, Integration & Verification and R&D Environment , and coordinate progress across teams.
- Support adoption into workflow of local experiments
- Track outcomes and use evidence and feedback to guide next steps. You will bringYou are motivated by improving how engineering teams’ work. You combine a practical, structured approach with the ability to build relationships, create momentum and drive progress across organizational boundaries.In addition, we believe you have
- A university degree in Computer Science, Electrical Engineering, Applied Mathematics, Telecommunications or a related discipline.
- Experience in test, verification, lab operations, or a related engineering field.
- Experience driving cross-functional improvement, transformation or efficiency initiatives.
- An interest in applying AI and automation to engineering workflows.
- Ability to turn strategic goals into priorities and measurable outcomes.
- Strong collaboration, stakeholder-management and communication skills.
- A proactive, pragmatic approach focused on adoption and results.