Machine Learning Engineer For Embedded Systems Markham

Exciting chance for a Machine Learning Engineer with embedded systems experience, focusing on AI solutions for automotive platforms. Bring your C++ expertise to develop groundbreaking applications for autonomous driving. In this role, you will create and improve core components of the ML runtime framework tailored for effective 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 • Solid 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 Apply on Kit Job: kitjob.ca/job/2o8ilg