CPU SW Architecture - ML Acceleration Engineer

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Our CPU software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU.

This position/s will expose you to Qualcomm's cutting edge CPU features and ML/AI acceleration needed for the industry.

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 QCOM SoC.

Candidates with 6 to 10 years of relevant experience & willing to work in San Diego location are welcome to apply.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

• Understanding of ARM CPU architecture fundamentals and ARM ISA

• Understanding of CPU accelerator ISA for Vector/Matrix Data Processing

• 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

• Understanding of the typical Open Source Library framework design

• Strong skills to collaborate with multiple-teams including HW design to define the software architecture

• 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 Silicon

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Pay range and Other Compensation & Benefits :

$162,600.00 - $244,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

If you would like more information about this role, please contact Qualcomm Careers (~~~) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification