Requirements System Engineer Internship – Autonomous Mobility (TM)

Autonomous Mobility provides active safety support by identifying in advance potentially hazardous situations and helping to avoid them.
You will be part of the Radar Systems Engineering team with a focus on Requirements specifications and tools.
#AutonomousMobility

As internship on this role, you will:

• Work with requirements engineering specific tools.
• Understand requirements engineering method.
• Understand the analysis and traceability concepts.
• Use procedures defined in the development process.
• Participate to the reviews and to the release of the system discipline.
• Support the System Lead Engineer for the System Release.
• Work in a multinational team of specialists.

This is what it takes to be a successful System Engineer Student:

• Student in Electronics, Telecommunication, computer Science, Informatics, Electrical engineering, Management in Production & Transports;
• Knowledge of Microsoft Excel;
• Good on verbal & written English language;
• Well organized;
• Attention to details;
• Good communication skills;
• Problem solving attitude;
• Good Planning & Coordination capability.

What we offer:

• Integration Program in a professional, young & dynamic team;
• A mentor for your learning period;
• Competitive Salaries & Benefits;
• 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.