The Advanced Driver Assistance Systems 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.
We’re looking for a creative, inventive and passionate student with fair experience in C++ software development and machine learning techniques (DNN knowledge is a plus), that wants to work on the car of the future and also wants the comfort and empowerment offered by a company like Continental.
You will work on a new algorithm called Road Surface Conditions classification. You will be in touch with experts around the world in the Machine Learning domain to research, design and develop this state of the art algorithm.
The main professional benefits for you are :
A mentor will support you to stepwise take over own responsibility after an initial training phase which will familiarize you with our products, tools, processes and organization.
For this, it would be a plus (but not required) to have some experience using quick code prototyping tools such as : Matlab, Python, etc.