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 effective 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 settings
Familiarity with hands-on AI accelerator pipelines Use your research expertise to lead AI advancements at Qualcomm Canada.

📌 Ai/machine Learning Research Engineer Markham
🏢 Qualcomm
📍 Markham