Internship Sustainability Circular Economy for Autonomous Mobility (TM)

Job Description

Drive sustainability in the automotive electronics industry! Join us to innovate circular economy solutions, reduce waste, and make a real impact on the future--while kick-starting your career in tech and sustainability.

We're seeking passionate students to join our team as Circular Economy Interns, who will contribute to real-world sustainability projects.

You'll work closely with our sustainability and engineering teams with hands-on experience in a fast-growing, cutting-edge field.

Your role will:

• Involve researching and implementing strategies to reduce waste;
• Optimize resource use;
• Support the development of sustainable product life cycles.

This is what it takes to be a successful as an Internship in Sustainability Circular Economy:

• Knowledge of English;
• Microsoft Office, specifically Excel (data management, data entry, sorting, filtering, data cleaning, formulas, data visualization, linking data, etc.);
• Strong interest in sustainability, circular economy, and automotive technology;
• Analytical mindset with problem-solving skills;
• Good communication and teamwork abilities;
• Basic knowledge of materials science and product lifecycle analysis is a plus.

What we offer:

• Integration Program in a professional, young & dynamic team;
• A mentor for your learning period;
• Recommendation Bonuses for new team members;
• Flexible working hours for your studies.

Wellbeing:

• Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
• Different discounts (glasses, tires, medical, shopping);
• In-house restaurant & coffee corners.

Ready to drive with Continental? Take the first step and fill in the online application.

The Autonomous Mobility department develops products and systems based on intelligent Camera, Radar & Lidar sensors that are able to "see" and collect details from traffic in the surrounding area of the vehicles. The used sensors contain very powerful processing elements that are able to run intelligent Image, Radar and Lidar signal processing algorithms through which the high volume of information from traffic is analyzed and translated in actions and decisions which are transmitted to the driver trough visual or acoustic information or direct take the control of the vehicle brakes, acceleration and direction.