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 (Canada)
🏢 QUALCOMM
📍 Canada