Our CPU software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU.
This position/s will expose you to Qualcomm’s cutting edge CPU features and ML/AI acceleration needed for the industry.
Candidate would participate in software architecture, Optimizing the core ML kernels using the latest advancements in ARM architecture features like SME, SVE that enhance the ML models on the CPU of the QCOM SoC.
Preferred Qualifications
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Master's Degree in Engineering, Information Systems, Computer Science or related field.
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Understanding of ARM CPU architecture fundamentals and ARM ISA
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Understanding of the basic linear algebra functions used in AI/ML
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Performance Evaluation and Optimization of the applications for ARM architecture
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Inferencing of the ML models written in Pytorch/TensorFlow
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Understanding of the typical Open Source Library framework design
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Skills to collaborate with multiple-teams including HW design to define the software architecture
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Good Programming skills and understanding of the ARM ISA
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understanding of the algorithms suitable for Vector and Matrix accelerators
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Strong Analytical and debugging skills