Internship - Industrial Engineering Motorsport
Pubblicato il 21-08-2026 - Pirelli & C. in Italia
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
- International, engaging, and supportive working environment.
- Competitive reimbursement.
- Free company restaurant.
- Personal and professional development.
DRIVE YOUR FUTURE
Join the HQ Motorsport Manufacturing team and immerse yourself in a dynamic environment. From day one, you will gain hands‑on experience and grow your skills in technical support in the field of material management, supporting our Motorsport factories (Romania, Turkey and Brasil).
The role welcomes motivated and adaptable recent graduates who are ready to contribute to operation management in a dynamic industrial setting.
WHAT YOU WILL LEARN
- Collecting demand for materials based on monthly production forecast;
- Defining intercompany material production plan according to available capacity, managing constrains and possible bottlenecks;
- Monitoring on weekly base the intercompany flow in order to ensure material availability for the productions.
- Supporting materials stock management together with logistic and suppliers.
- Improving and developing digital app and tools for easing material management.
- Support the analysis and reporting of CAPTT and OEE data, ensuring accuracy and the timely availability of Industrial Engineering performance indicators.
WHAT WE ARE LOOKING FOR
- A degree in a technical field, such as Industrial Engineering, Manufacturing Engineering, Management or related discipline.
- Strong ability to work with datasets and manipulate numeri