Qualcomm
Sr. Staff System SW Architecture - ML Acceleration Lead Engineer
Qualcomm, San Diego, California, United States, 92189
Company
Qualcomm Technologies, Inc. Job Area
Engineering Group, Engineering Group > Software Engineering General Summary
Our System software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU and NPU. This position will expose you to Qualcomm’s cutting edge CPU and NPU features and ML/AI acceleration needed for the industry. Candidates with 6-10 years of relevant experience and willing to work in San Diego location are welcome to apply. Responsibilities
Participate in software architecture and optimize the core ML kernels for ML/AI acceleration on CPU and NPU. Utilize ARM architecture features such as SME and SVE to enhance ML models on the Qualcomm SoC CPU. 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 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. EEO and Accommodations
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 e-mail disability-accomodations@qualcomm.com. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. (Note: This email address is used to provide reasonable accommodations and we will not respond to requests for updates on applications or resume inquiries via this email.) Staffing and Recruiting Agencies
Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals represented by an agency are not authorized to submit profiles, applications or resumes. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias or Qualcomm employees. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Pay range and Other Compensation & Benefits
$162,600.00 - $244,000.00 The above pay range reflects the broad minimum to maximum pay scale for this job code and location. Salary is one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and the opportunity for annual RSU grants. Employees on sales-incentive plans are not eligible for our annual bonus. Qualcomm provides a comprehensive benefits package to support success at work, at home, and at play. Your recruiter can discuss details and you can review more information about US benefits on our site. Contact
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr
Qualcomm Technologies, Inc. Job Area
Engineering Group, Engineering Group > Software Engineering General Summary
Our System software architecture team is driving the core math libraries software architecture needed for ML/AI acceleration using CPU and NPU. This position will expose you to Qualcomm’s cutting edge CPU and NPU features and ML/AI acceleration needed for the industry. Candidates with 6-10 years of relevant experience and willing to work in San Diego location are welcome to apply. Responsibilities
Participate in software architecture and optimize the core ML kernels for ML/AI acceleration on CPU and NPU. Utilize ARM architecture features such as SME and SVE to enhance ML models on the Qualcomm SoC CPU. 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 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. EEO and Accommodations
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 e-mail disability-accomodations@qualcomm.com. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. (Note: This email address is used to provide reasonable accommodations and we will not respond to requests for updates on applications or resume inquiries via this email.) Staffing and Recruiting Agencies
Our Careers Site is for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals represented by an agency are not authorized to submit profiles, applications or resumes. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias or Qualcomm employees. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Pay range and Other Compensation & Benefits
$162,600.00 - $244,000.00 The above pay range reflects the broad minimum to maximum pay scale for this job code and location. Salary is one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and the opportunity for annual RSU grants. Employees on sales-incentive plans are not eligible for our annual bonus. Qualcomm provides a comprehensive benefits package to support success at work, at home, and at play. Your recruiter can discuss details and you can review more information about US benefits on our site. Contact
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr