Drive AI innovation with Qualcomm Canada as a Machine Learning Engineer. Contribute to advanced model efficiency and ML system optimization for on-device inference solutions.
As part of the Low Power AI Solution team, you will engage in cutting-edge research focusing on inference efficiency and system optimization. Collaboration with global teams will be key as you design productive architectures and streamline model compression techniques. This role emphasizes hands-on development and strategic initiatives, shaping the future capabilities of Qualcomm’s AI accelerators.
Key Responsibilities:
Conduct research on model compression and inference efficiency
Develop software-hardware co-design system solutions
Collaborate with teams to create low power AI systems
Influence future accelerator features and deployment strategies
Convert research findings into production-ready solutions
Requirements:
Proven research records in inference efficiency
Expertise in model compression and neural network architectures
Background in compiler stack optimization for AI accelerators
Solid programming skills with ML frameworks
Experience with AI accelerator model development pipelines
Leverage your expertise to redefine AI capabilities at Qualcomm Canada.
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