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GPU Compiler Engineer, Staff

Job in Racine, Racine County, Wisconsin, 53404, USA
Listing for: Nutanix
Full Time position
Listed on 2026-07-31
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer, AI Engineer (Applied/Software), Computer Science
Salary/Wage Range or Industry Benchmark: 145600 - 218400 USD Yearly USD 145600.00 218400.00 YEAR
Job Description & How to Apply Below
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.

ORMaster'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.

ORPhD 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 LLVMFamiliarity with a GPGPU API such as SYCL, CUDA or OpenCL.Understanding of data structures and algorithms, including object-oriented programming6+ 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 disabili 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 ffing 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…
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