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Computer Vision System Engineer

Pubblicato il 02-10-2026 - Pirelli & C. in Italia

DISCOVER PIRELLI
We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people
WHY JOIN US
We are offering a rewarding role with scope for career progression along with:
- International, engaging, and supportive working environment.
- Global onboarding process.
- Bespoke training and development programs accessible to all.
- Competitive welfare and benefits package.
- International mobility opportunities.

DRIVE YOUR FUTURE
Pirelli is seeking a highly qualified candidate for the position of Computer Vision System Engineer. The ideal candidate will have at least 2–3 years of experience in an industrial setting.



The successful applicant will join the Digital Factory Innovation department, contributing to the development of Computer Vision solutions aimed at improving the efficiency, quality, and sustainability of production processes. The chosen candidate will play a key role in developing advanced Computer Vision solutions to enhance Pirelli's manufacturing activities.
YOUR CORE ACTIVITIES
- Technology scouting: The candidate will identify and analyze vision system technologies and techniques to fulfill the system requirements (cameras, lights, full machines, different imaging technologies fusion..)
- Computer Vision Development: The candidate will contribute to designing and developing computer vision and advanced algorithms. These algorithms will focus on optimizing production workflows, reducing waste, and maintaining the highest standards of product quality, thereby enhancing productivity, quality, and sustai

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