GPU Research Engineer

Qualcomm; San Diego (CA); On-site; USD 133,000 - 201,000; Full time

Job summary

An innovative company is seeking skilled GPU architects to enhance cutting-edge capabilities in AI and ML. This role involves close collaboration with diverse teams to design and develop advanced GPU architectures for general-purpose use and specific applications like large language models. Candidates should possess a solid understanding of GPU architectures and programming models, with proficiency in C/C++ and familiarity with APIs such as OpenCL and CUDA being essential. This is a fantastic opportunity to work at the forefront of technology and contribute to groundbreaking projects in the GPU space.

Benefits

Competitive annual discretionary bonus

Annual RSU grants

Comprehensive benefits package

Qualifications

• 2+ years of experience in Software, Hardware, or Systems Engineering.
• Strong understanding of GPU architectures and programming models.

Responsibilities

• Collaborate with teams to design GPU architectural features for AI and ML.
• Develop and advance capabilities in modern GPUs for various applications.

Skills

GPU architectures

C/C++ programming

Python programming

OpenCL

CUDA

Vulkan

D3D12

Education

Bachelor's degree in Computer Engineering

Master's degree in Computer Engineering

PhD in Computer Engineering

Job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary:

Qualcomm's GPU Research Team is looking for talented GPU architects to help advance state-of-the-art capabilities in Artificial Intelligence (AI), Machine Learning (ML) and General-Purpose use of modern GPUs (GPGPU). Through close collaboration with software team, hardware design team, standardization bodies, internal and external customers, and participation in ML/AI open-source projects, you will help develop and design new GPU architectural features for ML/AI and GPGPU use cases, such as large language models (LLM). For this role, we expect a strong understanding of GPU architectures, programming models, and applications. Familiarity with APIs such as OpenCL, CUDA, Vulkan, or D3D12 is required. Working knowledge of C/C++ is required. Python programming skills are a strong plus.

Minimum Qualifications:

1. Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
2. OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
3. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Pay range and Other Compensation & Benefits:

$133,600.00 - $200,400.00

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.