Machine Learning Compiler Performance Engineer

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-efficient on-device AI systems.