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addressIndirizzoStage, IT/Tecnologia, Inglese
CategoriaIngegneria

Descrizione del lavoro

Descrizione del lavoro:

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
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, (COMPANY NAME) 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 in the context of an active R&D project which 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 firmware package for ST evaluation boards to read and save sensor data acquired from any combination of sensors and microphones configured up to the maximum sampling rate. It is one of the firmware packages offered to provide support for creating custom dataset for next development phase of AI model.
In combination with the firmware application source code, it provides a set of ready-to-use Python scripts and libraries need to interface connected board running the firmware application.
Objective of this internship is evaluating how existing Python modules can be ported and executed in the browser sandbox, by evaluating the effort need to adapt them to the new execution stack. After this preliminary step, then the Python modules have to be wrapped in a library ready to be used in the existing web browser applications, and tested with real embedded device connected to the local PC, like [SensorTile.BOX Pro](https://www.st.com/en/evaluation-tools/steval-mkboxpro.html).
WebAssembly will be the technology used to experiment the porting phase. WebAssembly (abbreviated _Wasm_) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.
YOUR SKILLS & EXPERIENCES
* Experience with software development and OOP paradigm
* Knowledge of Python language
* Experience with Web programming (browser side)
* Experience with C++ and DLL
* Problem solving, proactive and smart thinking
* Technical English writing and reading
The Employment search is addressed to candidates of both genders, under Law 10.04.1991 n. 125, as amended by Legislative Decree n. 198/2006 which guarantees gender equality at work
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 part of our company culture. Our DEI vision is, "At ST, you can be the true version of yourself", we value all employee contributions and have zero tolerance for any kind of discrimination.
Joining us is also about a greater work-life balance and workplace with equal opportunities. Dedicated Employee Resource Groups for women and LGBTQIA+, hybrid work arrangements are amongst the many DEI & Sustainability initiatives that make us a great place to evolve your career.
To discover more, visit st.com/careers

Refer code: 1713670. Iagora - Il giorno precedente - 2024-06-13 09:35

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