qualcomm
qualcomm1d ago
New
USD 141600-212400/yr

Staff GPU AI Engineer

lead
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

* Applies knowledge of compilers to evaluate and improve performance of different machine learning frameworks.

Requirements Summary

• Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 4+ years of Software Engineering,

Technical Tools
Machine Learning EngineerData
## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Graphics Software Engineering General Summary: Ideal Candidate Will Have * Strong C/C++ programming skills * Familiarity with LLVM * Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL. * Understanding of data structures and algorithms, including object-oriented programming * 6+ years industry experience Minimum Qualifications: • Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR PhD in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. • 1+ year of work experience with one or more programming language suitable for graphics (e.g., C++, C). Preferred Skills: * Knowledge of GPU architecture and optimization techniques for GPGPU code. * Experience with a Machine Learning Graph Compiler. * Knowledge of MLIR Principal Duties and Responsibilities: * Applies knowledge of compilers to evaluate and improve performance of different machine learning frameworks. * Applies advanced graph optimization techniques to maximize utilization of GPU HW resources * Writes and reviews code for Machine Learning graph compilers and Machine Learning runtimes. * Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs. * Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization. * Writes detailed design documentation and feature descriptions for projects. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). 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: $141,600.00 - $212,400.00 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.

Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
July 13, 2026
First seen
July 14, 2026
Last seen
July 14, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
July 14, 2026

Signal breakdown

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qualcommStaff GPU AI EngineerUSD 141600-212400