Build machine learning compiler performance solutions at Qualcomm, using C++ and Python to optimize algorithms for productive Qualcomm hardware mappings.This Staff-level engineering role spans ML systems, compiler development, and workload analysis. You will connect Py Torch with Qualcomm ML/AI compiler flows while studying network design trends. Your work will inform future hardware and software features through performance, area, and power analysis.Key Responsibilities: Develop and evolve production and exploratory ML/AI compilersDefine algorithms for high-performance,
low-power Qualcomm hardware compilationCouple Py Torch efficiently to Qualcomm ML/AI compiler flowsCreate C++ and Python performance-driven simulation componentsAnalyze simulations and recommend hardware and software enhancementsRequirements: 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 C++ and Python knowledge with algorithm development experiencePerformance analysis, debugging, and analytical problem-solving skillsApply compiler development, Py Torch integration, and performance analysis expertise to Qualcomm’s power-efficient on-device AI systems.#J-18808-Ljbffr