Autonomous Driving Intern, Sensor Fusion and Localization

Embedded in a worldwide network, Mercedes-Benz Research & Development North America (MBRDNA) continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Advanced Interaction Design, Digital User Experience, Machine Learning, Autonomous Driving, Customer Research and Business Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive as well as in Long Beach, CA where the F-CELL team brings hydrogen vehicles to the road. The Testing and Regulatory Affairs Division in Ann Arbor, MI and the Advanced Vehicle Design in Carlsbad, CA complete the competence center. Together, all the developers, technicians, engineers and designers take on the challenges of creating the next innovation. They’re inspired by the newest trends, find the best solutions for the customer, develop the latest and greatest technologies and create the next generation of connected, safe, sustainable and luxurious vehicles.

Here at MBRDNA, we are looking for talented, energetic, and committed individuals to join our diverse team. Our employees are the key to our success, and we support each individual in fulfilling his or her potential. We proudly continue the pioneering work initiated by founders Gottlieb Daimler and Carl Benz over 125 years ago.

Role Overview:

  • Development of Sensor Fusion algorithms
  • Integration of the data processing algorithms of new radars in the

autonomous vehicles

  • Implementation and testing of the algorithms in the vehicle
  • Analysis of test data resulting in algorithm improvements
  • Literature research in the autonomous driving sector

Minimum Requirements:

  • Must be enrolled in Bachelor’s, Master’s or PhD program in Electrical Engineering or Computer Science
  • Excellent C programming skills
  • Knowledge of radar signal processing and radar calibration
  • Practical experience with ADTF
  • Experience with statistical data processing and Kalman filters

Preferred Qualifications:

  • Embedded system experience
  • Experience or exposure to Sensor Fusion
  • Practical experience with autonomous vehicles
  • Knowledge of Bayesian methodology
  • Must be able to drive in the state of california upon starting this position

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