Internship - Sensor Fusion for Autonomous Driving - Autonomous Mobility (TM)

Descrição da função

We are looking for colleagues that want to start a career in a dynamic and future-oriented field, improved environment perception being essential to reaching fully autonomous driving.

Daily activities will include:

  • Support fusion algorithms development (e.g. issue pre-analysis, lower complexity fixes, literature research);
  • Simulation and testing in dedicated environments;
  • Software quality activities (e.g. unit testing, static code analysis).


A mentor will support you to gradually take over responsibilities, after an initial training phase that will familiarize you with our products, tools, processes and organization.

#AutonomousMobility

Mais informações

Requisitos

Mandatory know-how:

  • C/C++, preferably OOP know-how;
  • Basic algorithms understanding;
  • Math skills (e.g. matrix operations, coordinate systems and transformations);
  • Understanding of basic physics concepts (e.g. equations of motion).


Background in any of the following is a plus:

  • Matlab, Python;
  • Involvement in practical technology projects.
Mais informações

O que oferecemos

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.

Mais informações

Quem somos

We are a diverse team of engineers, mathematicians, physicists, focused on the development of multi-sensor fusion algorithms, especially in the areas of road representation and traffic participants. Our goal is to provide a comprehensive description of the environment around the vehicle, fusing detections from available sensors (camera, radar, lidar etc.).

    Mais informações