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A leading company seeks an intern for web porting of Python modules focused on sensor datalogging applications in Lecce. The role involves enhancing web-based AI tools, with responsibilities in developing firmware packages and utilizing technologies like WebAssembly. Ideal candidates will have a background in software development, particularly in Python and C++.
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20.06.2025
04.08.2025
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AI is used today in an ever-wider range of applications. Edge AI deploys AI algorithms and models directly on devices such as Internet of Things (IoT) devices and embedded industrial and automotive systems. This approach enables real-time processing and analysis of data at the source.
In the Edge AI domain, STMicroelectronics provides tools and software that help embedded developers create, evaluate, and deploy machine learning algorithms on STM32 microcontrollers and microprocessors and smart sensors in a fast and cost-effective way.
This internship is positioned within an active R&D project that aims to enrich the set of web-based tools provided by ST around its ecosystem of smart components (sensors and microcontrollers) designed for artificial intelligence applications.
FP-SNS-DATALOG2 is a firmware package for ST evaluation boards to read and save sensor data acquired from various sensors and microphones, configured up to the maximum sampling rate. It supports creating custom datasets for the next development phase of AI models.
Along with the firmware application source code, it provides a set of ready-to-use Python scripts and libraries needed to interface with the connected board running the firmware application.
WebAssembly (Wasm) will be used to experiment with porting. Wasm is a binary instruction format for a stack-based virtual machine, designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.
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