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This is an exciting opportunity to tackle real-world challenges in bringing algorithms developed in the lab to vehicles operating in diverse physical environments.\nMissions\nOptimizing and deploying machine learning models on heterogeneous embedded computing platforms.\nCollaborating with machine learning researchers to develop and evaluate hardware-aware model architectures.\nDeveloping methodologies for hardware-aware model optimization and neural network architecture search.\nProfil recherché\n - The ideal candidate enjoys understanding both neural network architectures and the hardware on which they execute, and is interested in techniques such as hardware-aware neural architecture search, model scaling, quantization, mixed-precision inference, and model compression- Proficiency programming in Python\n- Fluent in English and French, both written and spoken\n- Strong understanding of machine learning and deep neural network architectures with hands-on experience developing machine 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