Responsibility
Development of end-to-end embedded AI software to train and finetune neural network models on Qualcomm leading edge hardware with optimal resources.
Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.
Preferred Skills and Experience
5+ years of experience with Machine Learning frameworks and Deep Learning (Pytorch).
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, C, C++)
Strong software design, development, and debugging skills.
Knowledge of Android programming is plus.
Optimization of algebraic operations in algorithms for HW cores is a plus.
Knowledge in neural network model training is a big plus.
Knowledge in neural network model quantization is a big plus.
Experience with Qualcomm QNN SDK is a big plus.
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