Staff Engineer - ML Libraries Development Engineer
Qualcomm
Date: 11 hours ago
City: Bengaluru, Karnataka
Contract type: Full time
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/s 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 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
Minimum Qualifications
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.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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/s 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 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
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
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.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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