Engineer - Staff-ML libraries

4 days ago

Bengaluru, Karnataka, India Qualcomm Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.

Job Description:

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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