Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Qualcomm’s GPU Research Team is seeking innovative GPU architects to advance state-of-the-art capabilities in Artificial Intelligence (AI) , Machine Learning (ML) , and General-Purpose GPU (GPGPU) computing. This is a unique opportunity to design next-generation GPU architectures that power everything from mobile devices to Windows on Snapdragon (WoS) compute platforms and large-scale data center GPUs . What You’ll Do · Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads. · Develop architectural solutions for diverse platforms, including mobile , WoS , and data center GPUs . · Work closely with software teams , hardware design teams , standardization bodies , and internal/external partners to deliver cutting-edge solutions. · Participate in open-source GPGPU/ML/AI projects and contribute to industry-leading initiatives. · Influence the evolution of GPU capabilities for advanced use cases such as large language models (LLMs) and large vision models(LVMs) . Required Skills · Strong understanding of GPU architectures , programming models , and application domains . · Proficiency with APIs such as OpenCL , CUDA , Vulkan , or Direct3D 12 . · Experience with hardware design flow and basic knowledge of Verilog (or VHDL) . · Exposure to hardware simulation/emulation tools and waveform analysis . · Basic understanding of GPU memory and cache design hierarchy . · Solid programming skills in C/C++ . · Familiarity with Python is a strong plus. Preferred Skills · Hands-on experience in development, debugging, and optimization of CUDA and OpenCL kernels , as well as GPU compute shaders . · Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs). · Experience designing GPU hardware features for ML/AI acceleration. · Experience with open-source projects such as llama.cpp , vLLM , or similar frameworks is a big plus. 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. 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 : $161,800.00 - $242,600.00 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 .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > GPU ASICS Engineering
What You’ll Do
Collaborate with other GPU architects to design new hardware features and enhance existing GPU architectures for accelerating GPGPU, ML, and AI workloads.
Develop architectural solutions for diverse platforms, including mobile , WoS , and data center GPUs .
Work closely with software teams , hardware design teams , standardization bodies , and internal/external partners to deliver cutting-edge solutions.
Participate in open-source GPGPU/ML/AI projects and contribute to industry-leading initiatives.
Influence the evolution of GPU capabilities for advanced use cases such as large language models (LLMs) and large vision models(LVMs) .
Strong understanding of GPU architectures , programming models , and application domains .
Proficiency with APIs such as OpenCL , CUDA , Vulkan , or Direct3D 12 .
Experience with hardware design flow and basic knowledge of Verilog (or VHDL) .
Exposure to hardware simulation/emulation tools and waveform analysis .
Basic understanding of GPU memory and cache design hierarchy .
Solid programming skills in C/C++ .
Familiarity with Python is a strong plus.
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.
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.
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.
$161,800.00 - $242,600.00
If you would like more information about this role, please contact Qualcomm Careers .

Nice-to-haves

Hands-on experience in development, debugging, and optimization of CUDA and OpenCL kernels , as well as GPU compute shaders .
Deep understanding of quantization techniques and data types for large language models (LLMs) and large vision models (LVMs).
Experience designing GPU hardware features for ML/AI acceleration.
Experience with open-source projects such as llama.cpp , vLLM , or similar frameworks is a big plus.

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aimachine learningmlpythonrest

Platform: eightfold
Effort: medium

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