Edge AI Engineer/Staff Software Engineer
Pubblicato il 30-08-2026 - Qualcomm in Piemonte
Company
Qualcomm Europe, Inc. Italy Branch Office
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
Arduino’s mission is to help people enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world have been using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.
We are looking for a talented Edge AI Engineer to design and evolve the software layers that power Arduino’s high-performance Linux platforms. We believe in hiring collaborative smart people who are excited to push boundaries.
You will join an inclusive team of technology specialists passionate about bringing Machine Learning to the Edge, focusing on the integration of AI models and the development of robust, containerized model pipelines for Linux-based embedded platforms.
What We Offer
- A challenging career path in a rapidly growing company with modern vision and talented teams.
- A competitive salary that values people skills and experience.
- A young and inspiring work environment that encourages diversity and cultural exchange.
- Individual growth objectives with a dedicated budget for learning/training.
- Flexible working hours and working locations, we value work-life balance
- A meaningful work opportunity in a mission-driven company committed to empower people around the world.
And if you live near one of our offices…
- Ping pong and foosball tournaments (sport or gym vantaggi is also included for everyone).
- Seasonal celebrations, happy hours and everyday drinks and snacks at the office.
- Sunny rooftop lunch breaks and hamacas for relaxation and concentration.
What You'll Work On
- Design and develop containerized AI model runners and execution environments for high-performance Linux embedded platforms.
- Build Python-based libraries and frameworks to simpli