Computer Vision Engineering Co-op - Magna International

Key Responsibilities

• Design, implement, and test computer‑vision algorithms for driver‑assist and autonomous driving features.
• Develop and maintain codebases in Python and C++ using OpenCV, Tensor Flow, or similar libraries.
• Collect, preprocess, and annotate image/video data from vehicle sensors for model training and validation.
• Collaborate with cross‑functional teams (hardware, systems, validation) to integrate perception solutions into prototype vehicles.
• Document experiments, results, and technical decisions; present findings to engineering stakeholders.

• Current enrollment in a Computer Science, Electrical Engineering, or related program with a focus on computer vision or machine learning.
• Proficiency in Python and C++ programming, and experience with OpenCV or similar vision libraries.
• Understanding of machine‑learning concepts and hands‑on experience training models (e.g., Tensor Flow, PyTorch).
• Familiarity with image processing, feature extraction, and sensor data (camera, LiDAR) pipelines.
• Strong problem‑solving skills, ability to work in a collaborative team environment, and effective communication of technical ideas.