About this opportunity:
Software testing is a cornerstone of high-quality software delivery. However, test failures, especially those without clear root causes, lead to productivity loss, slow release cycles, and unreliable systems. This thesis investigates the use of Machine Learning (ML) and Large Language Models (LLMs) to analyze test failures and provide root cause insights across various testing stages (unit, integration, system), using data already collected from CI/CD pipelines and stored in S3.
What you will do:
The skills you bring:
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791417
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