Build machine learning compiler performance solutions at Qualcomm, using C++ and Python to optimize algorithms for efficient 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 compilers Define algorithms for high-performance,
low-power Qualcomm hardware compilation Couple PyTorch efficiently to Qualcomm ML/AI compiler flows Create C++ and Python performance-driven simulation components Analyze simulations and recommend hardware and software enhancements
Requirements:
Bachelor’s degree and four-plus years of related experience Master’s degree and three-plus years of related experience PhD and two-plus years of related experience Strong C++ and Python knowledge with algorithm development experience Performance analysis, debugging, and analytical problem-solving skills Apply compiler development, PyTorch integration, and performance analysis expertise to Qualcomm’s power-effective on-device AI systems.