Shape cutting-edge AI solutions with Qualcomm Canada as an AI/Machine Learning Research Engineer. Engage in pioneering research on system optimization and model compression techniques.

Joining Qualcomm's Low Power AI Solution team, you will lead initiatives focused on efficient on-device inference. By applying your deep understanding of ML systems, you will collaborate globally to create creative solutions that optimize hardware and software interactions. Your work will significantly impact Qualcomm’s AI accelerator capabilities and advance the field of embedded intelligence.

Key Responsibilities:



• Research ML system optimization and inference efficiency • Prototype system solutions aligning with Qualcomm AI accelerators • Collaborate to transition research into real-world applications • Contribute to shaping future AI accelerator features • Lead efforts in model deployment strategies

Requirements: • Demonstrated research excellence in ML systems • Deep knowledge of inference algorithms and model compression • Background in graph transformation and compiler stacks • Proficient programming skills in ML development environments • Familiarity with hands-on AI accelerator pipelines

Use your research expertise to lead AI advancements at Qualcomm Canada. #J-18808-Ljbffr

📌 AI/Machine Learning Research Engineer (Winnipeg)
🏢 Qualcomm
📍 Winnipeg