Design, implement, and maintain **C++ ADAS functions** for perception, prediction, and planning (e.g., lane keeping, ACC, AEB, traffic-light and object handling) in a safety-critical codebase. * Build and extend testable, modular libraries and components, including interfaces to models, sensor , and vehicle control. * Hands-on experience training and using deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior.
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