Machine Learning Engineer for Embedded Systems, Markham
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Markham, Canada
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Last edited: less than a week ago
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In this role, you will create and improve core components of the ML runtime framework tailored for efficient AI operations. Your responsibilities include collaborating with compiler and hardware teams to ensure high-performance execution paths. You will analyze system performance and optimize for accuracy during model deployment, crafting tools for effective profiling and debugging.
Key Responsibilities:• Design ML framework components for embedded systems • Collaborate on execution paths for AI workloads • Maintain C++ runtime kernels and systems integration • Develop performance profiling tools for AI models • Analyze and improve runtime performance metrics
Requirements:• 4+ years in embedded system performance optimization • Strong proficiency in C++ programming necessary • Experience with Linux/Android/QNX development • Understanding of machine learning model structures • Familiarity with AI accelerators and DSP components
Leverage your skills to transform the automotive landscape with state-of-the-art embedded AI solutions. #J-18808-Ljbffr
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Company nameQualcomm
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Job positionMachine Learning Engineer for Embedded Systems
Machine Learning Engineer for Embedded Systems has been posted in the Markham Information Technology category on Locanto.
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