Intern - Engineering ADAS Perception Features

Magna International•Auburn Hills, MI

About The Position

Magna’s ADAS technologies are shaping an autonomous future and improving lives. The ADAS Intern/Co-op supports the ADAS Environmental Modelling teams 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.

Requirements

Holds bachelor’s degree in engineering
Valid Driver’s license
Enrolled in a master’s or PhD degree program in Mechanical Engineering / Electrical Engineering / Automotive Engineering/ Computer Science or equivalent
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

Nice To Haves

Experience in ADAS/AD academic/industry projects
Execution of test suites in a model/software in the loop environment (MIL/SIL)
Working knowledge in development of portable, reusable and modular software in automotive environment.

Responsibilities

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