Internship - Software Quality & Test Automation

Want to help invent the future? Barco Labs is the innovation engine of Barco, where new technologies, concepts, and ideas are explored long before they become products.

About The Internship Are you interested in software quality, automation, and healthcare technology? At Barco, you'll contribute to the development of software that enables efficient access to Whole Slide Images (WSIs), the large digital images used in modern pathology workflows.

During this internship, you will help improve the automated testing and validation framework of a software library used to read and process digital pathology images. Your work will focus on designing and implementing automated tests to validate image access, metadata extraction, format compatibility, and software performance across a wide range of image datasets.

You will also contribute to the development of testing infrastructure, benchmarking tools, and reporting mechanisms that help ensure the long-term reliability and quality of the software used in visualization, AI, and image analysis applications.

What We're Looking For

• Bachelor student in Computer Science, Software Engineering, Electronics-ICT, or a related field
• Good programming skills in Python and/or C++
• Interest in software quality, testing, and automation
• Understanding of software engineering principles and good coding practices
• Strong analytical and problem-solving skills
• Experience with Linux/Docker
• Experience with Git (GitHub) and collaborative software development
• Experience with LLM in development
• Fluent spoken and written communication in English

Experience with automated testing frameworks, CI/CD workflows, performance benchmarking, image processing, or scientific computing is a plus.

What We Offer At Barco, you'll gain hands-on experience in a professional software development environment and work closely with engineers developing advanced digital pathology

solutions. You'll help build tools and processes that ensure software quality, reliability, and performance in real-world healthcare applications.

Join us and help build the testing and automation frameworks behind the next generation of digital pathology software.