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GPU Compiler Engineer, Staff

qualcomm
Wisconsin - Remote, United States of America, United Statesfull_timeVerifiedPosted 27 Jul 2026
💰 $218,400/yr($145,600/yr$218,400/yr)

About the role


Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.

Minimum Qualifications:

•    Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

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

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.

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Company

qualcomm

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