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St • Graz, Styria, Austria
Role seniority: Internship (full-time) for 6+ months; potential path to master’s thesis.
Programming: C# or Python (proficiency a plus)
Domain: computer vision, software development
Environment: camera-based analysis of NFC validation outputs (LEDs, text messages)
Develop a new test procedure for the existing NFC validation tool
Create a vision-based solution that analyzes camera input (photos/videos) to determine pass/fail
Validate the approach against optical outputs (LEDs or on-screen messages)
Master’s degree (pursuing or completed)
Strong interest in computer vision and software development
Self-motivated with good problem-solving skills
Graz, Austria office
Full-time internship; 6 months or longer
Opportunity to pursue a master’s thesis project during the internship
Applies to STMicroelectronics; emphasis on practical, real-world NFC validation work
DEI and inclusion are highlighted in company culture (non-criteria for role)
OUR STORY
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
YOUR ROLE
We are seeking a motivated intern to develop a new test procedure for our existing NFC validation tool. The project involves creating a solution that uses camera input—either photos or videos—to automatically determine if an NFC transaction test has passed or failed by analyzing the optical output of the reader. This output may include green/red LEDs, a set of four LEDs similar to those found on payment readers, or text messages displayed on a screen.
Full-time internship position based at our office in Graz
Duration: 6 months or more Opportunity to work on a real-world project with potential to be pursued as a master’s thesis
Your Skills & Experiences
Master degree Strong interest in computer vision and software development Proficiency in C# or Python is a plus Self-motivated with good problem-solving skills
If you are eager to apply your skills in a practical setting and contribute to innovative NFC validation technology, we would love to hear from you!
ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.
At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.