Internship - AI based automation for software package quality control.
Pubblicato il 10-08-2026 - STMicroelectronics Italia in Catania
OUR STORY
At ST, we believe in the power of technology to drive innovation and make a positive impact on people, business, and society. We are a global semiconductor company, and our advanced technology & chips forms the hidden part of the world we live in today.
When you join ST, you will be part of a global business of more than 115+ nationalities and present in 40 countries, 50,000+, diverse and dedicated creators & makers of technology around the world
Developing technologies takes more than talent: it takes amazing people who understands collaboration and respect. People with passion and desire to disrupt the status quo, push boundaries and drive innovation – whilst unlocking your own potential.
Working at ST means innovating for a future that we want to make smarter, greener, in a responsible and sustainable way. Our technology starts with you. Join us and start the future
YOUR ROLE
The internship focuses on developing and implementing artificial intelligence-based automation solutions for software package quality control.
The intern can use Gen AI tool with/without an API key and programming languages such as Python, Java, or JavaScript to create tools that analyze the quality of software packages. Responsibilities include designing automated workflows, integrating AI models, and generating reports to support quality assurance processes. Responsibilities include designing automated workflows, integrating artificial intelligence models, and generating reports to support quality assurance processes. The intern collaborates with the development team to ensure that the solutions are effective and align with project requirements.
Your Skills And Experience
Master’s degree (completed or ongoing) in artificial intelligence, computer science, informatics, or informatics engineering.
Knowledge of at least one programming language, such as Python, Java, JavaScript, C, or C plus plus.
Familiarity with generative artificial intelligence and prompt engineering con