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Software Engineer/Lead - ARM Neon/ARM SVE with ML Libraries

Qualcomm

Bengaluru

On-site

INR 15,00,000 - 25,00,000

Full time

Today
Be an early applicant

Job summary

A leading tech company in Bengaluru is seeking an experienced ML Libraries Development Engineer to optimize math libraries for ML/AI acceleration on ARM architecture. The role requires expertise in ARM CPU fundamentals and programming skills in languages like C or Python. Ideal candidates should have 8-12 years of experience in the field, focusing on algorithm design and performance tuning of ML models.

Qualifications

  • 8+ years of relevant experience is required.
  • 2+ years of experience with programming languages such as C, C++, Java, or Python is essential.

Responsibilities

  • Optimize core ML kernels using the latest advancements of the ARM CPU architecture.
  • Enhance the performance of the ML models on the QCOM SoC.

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 applications for ARM architecture
Inferencing of the ML models written in PyTorch, TensorFlow, or Keras
Understanding of typical open-source library framework design

Education

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field
Master’s degree in Engineering, Information Systems, Computer Science, or related field
Ph.D. in Engineering, Information Systems, Computer Science, or related field

Tools

Programming languages such as C, C++, Java, or Python
Job description
Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

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 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 such as SME and 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 and willing to work in Bangalore 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 applications for ARM architecture
  • Inferencing of the ML models written in PyTorch, TensorFlow, or Keras
  • Understanding of typical open‑source library framework design
Preferred Skills:
  • Strong programming skills and deep understanding of the ARM ISA
  • Understanding of algorithms suitable for vector and matrix accelerators
  • Strong analytical and debugging skills
  • Good understanding of optimizing 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 3+ years of software engineering or related experience.
  • Master’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of software engineering or related experience.
  • Ph.D. in Engineering, Information Systems, Computer Science, or related field and 1+ year of software engineering or related experience.
  • 2+ years of academic or work experience with programming languages such as C, C++, Java, or Python.
Applicants:

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm’s toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities so they can participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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