GPU Machine Learning Engineer Full-time

Company:
Qualcomm Innovation Center, Inc.

Job Area:
Engineering Group, Engineering Group > Graphics Software Engineering

General Summary:

The Qualcomm GPU Software team is looking for talented software engineers interested in developing software for the latest Machine Learning models on the next generation of devices. The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets, providing best in class performance, power, and features. This role will involve working on Graphics software stack and Machine Learning SDKs and framworks on Android, Linux and Windows.

As a GPU Software Machine Learning Engineer, you are responsible for working with a team that is developing & optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX . You will be exposed to technology areas such as Image Processing and Machine Learning. This position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces.

Responsibilities will include the acceleration of Machine Learning operations for inference and training on the GPU, implementation of the latest Machine Learning models including LLMs and LVMs, writing samples and documentation, implementing interfaces to Machine Learning frameworks, development of unit tests and working with our partners, external developers, and OEMs.

Minimum Qualifications:
• Bachelor’s degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
• Knowledge of one or more programming language suitable for graphics (e.g., C++, C).

Required skills:

• Strong C/C++ programming skills
• Strong knowledge of Machine Learning Theory
• Familiarity with a Deep Learning Framework such as Pytorch
• Familiarity with a GPGPU API such as CUDA or OpenCL.
• Understanding of data structures and algorithms, including object-oriented programming
• Excellent interpersonal and analytical skills with the ability to work independently

Optional, preferred skills:

• Device driver development, including GPU or CPU
• Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
• Knowledge of GPGPU application development including Mathematical Operations and Image Processing.
• Exposure to Embedded systems and Real-time operating systems
• Experience working with ARM architecture
• Familiarity with Git or other SCM tools

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).

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Pay range and Other Compensation & Benefits:
$98,900.00 – $148,300.00

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.