Senior GPU Machine Learning Engineer

Company:

Qualcomm Innovation Center, Inc.

Job Area:

Engineering Group, Engineering Group > Graphics Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of whats possible to enable next-generation gaming, XR, and AI experiences. Qualcomm Graphics Software Engineers architect, design, implement, verify, and optimize the structure and performance of GPU hardware, drivers, features, applications, and tools. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs.

Minimum Qualifications:

• Bachelors degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 2 years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience.

OR

Masters degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 1 year of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience.

OR

PhD in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.

• 1 year of academic and/or work experience with 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 myhr.support@qualcomm.com or call Qualcomms toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hrpublicarticleview&sysparmarticle=KB0039028) . 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.

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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.

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Pay range:

$116,900.00 – $175,300.00

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!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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