CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomm’s cutting edge SoC and ML/AI platforms in the industry.
Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM SoC.
Candidates with 8-12 years of relevant experience & willing to work in Bangalore location are welcome to apply
Required Skills
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Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA
Optimizing kernels for vector Processors
Understanding of the basic linear algebra functions used in AI/ML
Algorithm design (logic, critical thinking)
Performance Evaluation and Optimization of the applications for ARM architecture
Inferencing of the ML models written in Pytorch/TensorFlow/Keras
Understanding of the typical Open-Source Library framework design
Preferred Skills
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Strong Programming skills and deep understanding of the ARM ISA
understanding of the algorithms suitable for Vector and matrix accelerators
Strong Analytical and debugging skills
Valuable understanding of Optimizing the Linear Algebra algorithms
Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware
Minimum Qualifications
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.