• Engineer I - Software Algorithm - Auburn Hills, MI

    Posted: 04/09/2026

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    Group Summary:
    Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
    Job Responsibilities:

    JOB SUMMARY

    The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle’s surroundings. The work spans concept through serial production: design and simulate algorithms, analyze and replay data, build and test classical and deep learning models, and optimize for real-time execution on production ECUs. Core tasks include object detection, segmentation, tracking, and image enhancement while meeting accuracy, latency, memory, and power targets. A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus.

    ESSENTIAL JOB FUNCTIONS

    • Develop (design, implement, optimize) conventional image processing algorithms for automotive embedded serial production projects.
    • Design, develop/tune, and optimize deep learning models for ADAS computer vision features (e.g., pruning, quantization) and improve computational performance.
    • Plan and execute experiments to assess deep learning model effectiveness, compare architectures, and validate results through rigorous component/bench testing.
    • Strong knowledge of various camera models; lens distortion correction; homograph and projective transformations mathematical techniques
    • Analyze large datasets to extract insights, refine models, and improve overall performance and robustness.
    • AND MORE...
    Learn more on Job Website.

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