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Internship in Predictive Control for Autonomous Vehicles

vor 2 Monaten


Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Job Description

As a Predictive Control Engineer Intern at Bosch, you will have the opportunity to work on the development of advanced control algorithms for autonomous vehicles. Your primary responsibility will be to design and implement Model Predictive Control (MPC) techniques to optimize path tracking and trajectory planning for autonomous vehicles.

Key Responsibilities:
  • Develop and integrate MPC algorithms for autonomous vehicles, ensuring seamless integration with planning and control systems.
  • Test and validate MPC algorithms on real vehicles, identifying and addressing any performance issues or limitations.
  • Collaborate with cross-functional teams to ensure the robustness and reliability of the control system, handling disturbances and uncertainties.
Requirements:
  • Education: Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
  • Experience and Knowledge: Proficiency in Python programming, strong understanding of control theory and motion planning algorithms.
  • Personality and Working Practice: Ability to work independently and as part of a team, excellent problem-solving and analytical skills.
  • Languages: Excellent written and verbal communication skills in English.
Additional Information:

This internship is open to students currently enrolled in a university program. To be considered, please submit your CV, transcript of records, and any other required documents. We are an equal opportunities employer and welcome applications from diverse candidates.