Staff GPU AI Engineer
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Staff GPU AI Engineer
141,600–212,400 / Year
Location
San Diego, California, United States of America
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
##
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](https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028). 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](https://secure-web.cisco.com/12dSRK2Rv2BLs82tpwDIWbiIUl-i98Bz7rRRVxcN6qa7Qli-INbv0fpz4yUu06mlX9VYFd3vscb7TeX0JNz7BC9w3OvnlmHfXdZB1J3-01baO99qUjTOsGBxu8o3he-yBMtaQlF1TE3-vQtrpW4lUPMnSnTI246LZTZgsyCyDT_MuHsrvlJSxx4yBCcjnDdYuCy0PCUABDhfhvOlhdubErcCDUMp9O-RUoHl4WQ6OhAasmuuZITZorC1Yt0GpYLmfly0bXb2hLBZberjmiT6wDkWT5wyqSuH7yHBaM-0ARNTNLLV4AZ_qZE4k9rl24d3Y9CZC14RRiu198VTP-Lx9zee2pfRx15exBSTRhJwEe1JlVXen9jW79DAXHJLu9oP9fEpGEPzBufcasieRAMMZ_hxF_CO-zysnXuBr2iS4-zfIETonK9Jcx2BA_ZqHMiJtCp-QK30kJlGrRvs_ycYXsAmFOFITxRDnUbukzMsxK8UaN2D4ufDUgSsx161_2XhxK4pRsmjZrH1HEO4RpJSdXA/https%3A%2F%2Fwww.qualcomm.com%2Fcompany%2Fcareers%2Fbenefits).
If you would like more information about this role, please contact [Qualcomm Careers](http://www.qualcomm.com/contact/corporate).
Key Responsibilities
- Apply knowledge of compilers to evaluate and improve performance of machine learning frameworks.
- Apply advanced graph optimization techniques to maximize utilization of GPU hardware resources.
- Write and review code for machine learning graph compilers and machine learning runtimes.
- Identify deficiencies in designs and collaborate with team members to develop solutions.
- Collaborate with team members to understand new features and functionality for implementation.
- Write detailed design documentation and feature descriptions for projects.
Requirements
- Bachelor's degree in Applied Mathematics
- Computer Science
- Computer Engineering
- Electrical Engineering
- Software Engineering
- or related field
- Master's degree in Applied Mathematics
- Computer Science
- Computer Engineering
- Electrical Engineering
- Software Engineering
- or related field
- PhD in Applied Mathematics
- Computer Science
- Computer Engineering
- Electrical Engineering
- Software Engineering
- or related field
Skills Required
C++CLLVMSYCLCUDAOpenCLObject-oriented programmingData structures and algorithmsCollaborationProblem solvingGPU architectureMachine Learning Graph CompilerMLIR
Benefits
- Health insurance
- Wealth benefits
- Self wellbeing
- Annual discretionary bonus program
- Annual RSU grants
- Competitive benefits package
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