Job Description
Join Qualcomm's Low Power AI solution team as a Machine Learning Engineer, focusing on deploying innovative AI models with low power consumption. Your expertise will be vital in enhancing inference efficiency on cutting-edge hardware.
This role involves deep collaboration with teams to design and optimize models for Qualcomm's AI accelerators. You'll explore emerging ML architectures, improve quantization techniques, and evaluate performance trade-offs. Your hands-on experience will drive model-hardware co-design and contribute significantly to low-power inference technologies.
Key Responsibilities:
• Prototype novel ML model architectures for low-power inference
• Align model design with Qualcomm’s AI accelerator capabilities
• Optimize quantization and mixed-precision techniques
• Develop and refine computational graphs and scheduling strategies
• Conduct performance evaluations using profiling tools
Requirements:
• Expertise in applied ML development with ...
This role involves deep collaboration with teams to design and optimize models for Qualcomm's AI accelerators. You'll explore emerging ML architectures, improve quantization techniques, and evaluate performance trade-offs. Your hands-on experience will drive model-hardware co-design and contribute significantly to low-power inference technologies.
Key Responsibilities:
• Prototype novel ML model architectures for low-power inference
• Align model design with Qualcomm’s AI accelerator capabilities
• Optimize quantization and mixed-precision techniques
• Develop and refine computational graphs and scheduling strategies
• Conduct performance evaluations using profiling tools
Requirements:
• Expertise in applied ML development with ...
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