CPU SW Math Acceleration Engineer
SunGreenH2
United States · California, USA · San Francisco, CA, USA · San Diego, CA, USA
Posted on Mar 14, 2026
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.
Minimum Qualifications
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.
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.
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.
Pay Range And Other Compensation & Benefits
$94,200.00 - $141,200.00
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.
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.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- Master's Degree in Engineering, Information Systems, Computer Science or related field.
- Understanding of ARM CPU architecture fundamentals and ARM ISA
- Understanding of the basic linear algebra functions used in AI/ML
- 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
- Skills to collaborate with multiple-teams including HW design to define the software architecture
- Good Programming skills and understanding of the ARM ISA
- understanding of the algorithms suitable for Vector and Matrix accelerators
- Strong Analytical and debugging skills
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.
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.
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.
Pay Range And Other Compensation & Benefits
$94,200.00 - $141,200.00
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.