Build machine learning compiler performance solutions at Qualcomm, using C++ and Python to optimize algorithms for effective Qualcomm hardware mappings.This Staff-level engineering role spans ML systems, compiler development, and workload analysis. You will connect PyTorch 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 PyTorch 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 experiencePhD and two-plus years of related experienceStrong C++ and Python knowledge with algorithm development experiencePerformance analysis, debugging, and analytical problem-solving skillsApply compiler development, PyTorch integration, and performance analysis expertise to Qualcomm’s power-effective on-device AI systems.
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