Enhance AI model deployment with Qualcomm as a Low Power AI Software Engineer. Focus on optimizing machine learning operators using C/C++ and embedded system development.

Qualcomm Canada ULC is seeking an experienced engineer to join the Low Power AI solution team. This role requires advanced skills in performance optimization and an understanding of machine learning. You will be instrumental in translating high-level ML operators into productive low-level hardware instructions.

Key Responsibilities:
• Optimize AI models for Qualcomm’s low power hardware
• Collaborate on machine learning kernel and tool development
• Map high-level ML operators to low-level hardware
• Conduct experiments to evaluate model performance
• Implement quantization and memory planning techniques

Requirements:
• Bachelor’s in Computer Science or related field
• 2+ years in software or hardware engineering
• Proficient in C/C++ programming
• Experience with Linux/Android environments
• Familiarity with ML frameworks like TensorFlow

Apply your expertise to optimize AI solutions at Qualcomm and drive innovation in embedded systems.
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📌 Low Power AI Software Engineer at Qualcomm (Ontario)
🏢 Nutanix
📍 Ontario