ADAS Perception Features Intern: Vision & Sensor Fusion

Magna-International-6df39721

Auburn Hills (MI)

In loco

USD 21.000 - 34.000

Part-time

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Magna Electronics is seeking an ADAS Intern/Co-op to support the Environmental Modelling team by integrating, developing, testing, and debugging low-speed ADAS algorithms such as parking, trailering, surround view, and camera calibration, as well as high-speed sensor fusion algorithms.

This internship offers hands-on exposure to cutting-edge automotive technologies within Magna's global engineering environment.

Competenze

  • Holds bachelor’s degree in engineering
  • Enrolled in a master’s or PhD degree program in Mechanical Engineering / Electrical Engineering / Automotive Engineering / Computer Science or equivalent
  • Mandatory: Experience in Digital Image Processing or Machine Learning or vehicle dynamics OR control systems OR digital signal processing through coursework or industry experience
  • Coursework or project with vehicle simulation/testing
  • Experience with C/C++, Python
  • MS Office Tools knowledge
  • Basic knowledge of ADAS features
  • Working knowledge in structured engineering approach, troubleshooting and debugging skills

Mansioni

  • Develop building blocks for ADAS features and algorithms
  • Design and implement conventional image processing algorithms
  • Design, develop/tune, and optimize deep learning models for ADAS computer vision features
  • Demonstrate knowledge of late (object-level) and early (raw-data) sensor fusion
  • Create or modify test cases based on requirements to cover new or modified functionality
  • Debug and root-cause issues
  • Report and document issues; propose corrections
  • Perform system testing on bench and in vehicles to ensure the product functions and performs per customer requirements

Conoscenze

Digital image processing
Machine learning
Vehicle dynamics
Control systems
Digital signal processing
C/C++
Python
MS Office Tools
ADAS features knowledge
Debugging skills

Formazione

Bachelor’s degree in engineering
Enrolled in a Master’s or PhD degree program in Mechanical Engineering / Electrical Engineering / Automotive Engineering / Computer Science

Strumenti

MATLAB/Simulink

Descrizione del lavoro

Magna Electronics is seeking an ADAS Intern/Co-op to support the Environmental Modelling team by integrating, developing, testing, and debugging low-speed ADAS algorithms such as parking, trailering, surround view, and camera calibration, as well as high-speed sensor fusion algorithms.

This internship offers hands-on exposure to cutting-edge automotive technologies within Magna's global engineering environment.

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