Driven by the passion to improve the quality of people’s lives, WS Audiology continues to grow as the market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation to reach more people, more effectively.
As a Software Test Engineer Intern, you will work on developing a robust visual testing solution that integrates with the existing UI-based functional test automation pipeline. Your contributions will aim to maximize current test investments, enhance verification and quality assurance, and streamline test script development. While the project does not directly impact current production, it has the potential to significantly improve future software testing processes.

WHO WE ARE

At WS Audiology, we provide innovative hearing aids and hearing health services.
Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.
With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.
Sounds wonderful? We can’t wait to hear from you.
WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self

• Design and develop features for a web-based Visual Testing application using ReactJS and Python, enabling baseline image selection, test execution, and intuitive result review
• Build user-friendly interfaces and scalable backend services to streamline UI discrepancy analysis and support visual test automation
• Develop and refine image comparison algorithms in Python to detect and classify visual differences between UI screenshots with high precision and noise tolerance
• Integrate enhanced comparison methods into Azure DevOps test pipelines, providing clear, actionable results for improved reporting and analysis in visual testing
• Integrate the Visual Testing Web Application with Azure DevOps pipelines by developing YAML configurations and automation logic to enable seamless continuous testing and result reporting within the CI/CD workflow.