Machine Learning research
Pubblicato il 18-09-2026 - STMicro in Balgano
OUR STORYAt 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 ROLESupport an AI research team at STMicroelectronics SRA on embedded machine learning and robotics projects under direct supervision. Typical activities include:
- Working on machine learning model optimization and deployment for resource-constrained edge hardware (STM32 microcontrollers/MPUs)
- Supporting simulation and integration tasks for robotics applications using ROS2 middleware
- Assisting in building automated tools and pipelines for model training, quantization, validation, and deployment workflows
- Preparing benchmark results, technical documentation, and supporting paper/publication preparation
YOUR SKILLS & EXPERIENCES
- Master degree in Computer Engineering, Electronics Engineering, Automation, or similar field (enrolled or recently completed)
- Strong programming skills in Python; working knowledge of C/C++
- Familiarity with machine learning frameworks (PyTorch, TensorFlow) and model optimization concepts
- Experience with Linux development environments and Git
- Basic understanding of embedded systems or IoT technologies
- Interest in edge AI, TinyML, roboti