Description
Qualcomm Canada ULC is hiring a Machine Learning Engineer for its Low Power AI solution team. The role maps high-level machine learning operators to low-level hardware instructions and optimizes inference and training through graph transformation, scheduling, memory planning, quantization, and other techniques. Responsibilities include developing machine learning kernels, compiler tools, model-efficiency software, and complex algorithms or frameworks, while conducting independent experiments. The position requires strong C/C++ and performance-optimization skills, Linux/Android development experience, and familiarity with embedded or computer hardware architecture; a bachelor's degree plus 2+ years of relevant experience, a master's degree plus 1+ year, or a PhD is accepted. The listed pay range is $114,400 to $164,400.
