About the job
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.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Preferred
Master's Degree in Engineering, Information Systems, Computer Science or related field.
Understanding of ARM CPU architecture fundamentals and ARM ISA
Understanding of the basic linear algebra functions used in AI/ML
Performance Evaluation and Optimization of the applications for ARM architecture
Inferencing of the ML models written in Pytorch/TensorFlow
Understanding of the typical Open Source Library framework design
Skills to collaborate with multiple-teams including HW design to define the software architecture
Good Programming skills and understanding of the ARM ISA
understanding of the algorithms suitable for Vector and Matrix accelerators
Strong Analytical and debugging skills