Build machine learning compilers at Qualcomm Canada ULC using C++ and Python to optimize on-device AI performance and power. Work across sites and functions.As a Staff Machine Learning Framework and Performance Engineer, you will develop production and exploratory ML/AI compilers. You will define algorithms mapping workloads onto Qualcomm hardware, couple Py Torch with compiler flows, and analyze network design trends. The work supports future Qualcomm ML hardware and software offerings through performance analysis and simulation.Key Responsibilities: Develop and evolve ML/AI compilers within QualcommImplement algorithms for high-performance, low-power Qualcomm hardwareConnect Py Torch frameworks with Qualcomm compiler flowsAnalyze performance, area,
and power trade-offsSimulate future So C hardware and software algorithmsRequirements: Bachelor's degree and four-plus years of related experienceMaster's degree and three-plus years of related experiencePh D and two-plus years of related experienceStrong algorithm development and performance analysis backgroundStrong C++ and Python knowledge is an assetApply compiler development, algorithm expertise, and performance analysis to Qualcomm’s evolving ML and AI hardware systems.#J-18808-Ljbffr