This role is on-site 5 days per week in San Diego, CA and relocation packages are available for the right candidates.
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 SoC.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Qualifications:
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
What does this position pay?
Compensation is determined by several factors which may include skillset, experience level, and geographic location.
The expected range for this role is $110,000 to $135,000 per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience.
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