Qualcomm
Sr. Staff System SW Architecture - ML Acceleration Lead Engineer
Qualcomm, San Diego, California, United States, 92189
Overview
Sr. Staff System SW Architecture - ML Acceleration Lead Engineer at Qualcomm Technologies, Inc. Our System software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU and NPU. This position exposes you to Qualcomm’s cutting edge CPU and NPU 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 6-10 years of relevant experience and 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 languages such as C, C++, Java, Python, etc.
Preferred Qualifications
Experience in developing the Math libraries for CPU and NPU. Excellent knowledge of ARM CPU architecture fundamentals and ARM ISA. Excellent understanding of CPU accelerator ISA for Vector/Matrix Data Processing. Excellent understanding of 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 leadership skills to work across multiple teams including System and HW to define the software architecture. 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 the linear algebra algorithms. Performance evaluation using QEMU, simulators, emulators and on silicon.
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. 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. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter can discuss details about Qualcomm’s offerings.
Additional Information
Seniority level Not Applicable
Employment type Full-time
Job function Other
Industries Telecommunications
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com or call Qualcomm’s toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
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Sr. Staff System SW Architecture - ML Acceleration Lead Engineer at Qualcomm Technologies, Inc. Our System software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU and NPU. This position exposes you to Qualcomm’s cutting edge CPU and NPU 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 6-10 years of relevant experience and 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 languages such as C, C++, Java, Python, etc.
Preferred Qualifications
Experience in developing the Math libraries for CPU and NPU. Excellent knowledge of ARM CPU architecture fundamentals and ARM ISA. Excellent understanding of CPU accelerator ISA for Vector/Matrix Data Processing. Excellent understanding of 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 leadership skills to work across multiple teams including System and HW to define the software architecture. 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 the linear algebra algorithms. Performance evaluation using QEMU, simulators, emulators and on silicon.
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. 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. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter can discuss details about Qualcomm’s offerings.
Additional Information
Seniority level Not Applicable
Employment type Full-time
Job function Other
Industries Telecommunications
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com or call Qualcomm’s toll-free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
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