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 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.

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