Engineer - Staff-ML libraries

Qualcomm

4 - 9 years

12 - 16 Lacs

bengaluru

Posted:4 hours ago| Platform:

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Skills Required

python isa debugging software engineering arm natural language processing neural networks dns cpu machine learning artificial intelligence deep learning tensorflow java active directory data science computer vision pytorch keras dhcp

Work Mode

Work from Office

Job Type

Full Time

Job Description

General Summary:

As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs
Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces

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.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

ML Libraries Development Engineer(8 to 12 years of relevant experience):

CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomms 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

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

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
Good understanding of Optimizing the Linear Algebra algorithms
Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware
key words: ML libraries, ARM NEON, ARM SVE
ARM SME ( if available)

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