Senior Research Engineer, Machine Learning Systems (Toronto)

Company and Job Area

Qualcomm Canada ULC – Engineering Group > Machine Learning Engineering – General Summary

As a member of the Low Power AI solution team, you will play a critical role in deploying AI models on Qualcomm's low‑power AI accelerator. The position focuses on mapping high‑level machine learning operators to low‑level hardware instructions, involving graph transformation, scheduling, memory planning, individual operator implementation, quantization, and other optimization techniques. Your expertise in machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm’s hardware architecture. Key Responsibilities

Explore and prototype novel or emerging ML model architectures optimized for on‑device, low‑power inference, including vision, audio, and multimodal workloads. Drive model–hardware co‑design by aligning architectural choices, operators, dataflows, and memory behavior with Qualcomm’s low‑power AI acce...