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 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.

📌 Machine Learning Compiler Performance Engineer (Winnipeg)
🏢 QUALCOMM
📍 Winnipeg