Job description

Company: Qualcomm Technologies, 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 high performance kernels and runtimes for accelerating GPGPU operations such as Machine Learning and Image Processing.. 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 with the Graphics software stack on Android, Linux and Windows. As a GPU Software Kernel Development 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 and working on runtimes and frameworks that support Machine Learning and other GPGPU operations. Additional responsibilities are - writing samples and documentation, 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 and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR Master's 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). Skills: • Strong C/C++ programming skills • 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: • Knowledge of Machine Learning Theory • Familiarity with a Deep Learning Framework such as Pytorch • Knowledge of GPGPU application development including Mathematical Operations and Image Processing. • Device driver development, including GPU or CPU • Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12 • Exposure to Embedded systems and Real-time operating systems • Experience working with ARM architecture • Familiarity with Git or other SCM tools Principal Duties and Responsibilities: • Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, Python). • 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 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 : $123,700.00 - $185,500.00 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 > Graphics Software Engineering
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).
Strong C/C++ programming skills
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
Knowledge of Machine Learning Theory
Familiarity with a Deep Learning Framework such as Pytorch
Knowledge of GPGPU application development including Mathematical Operations and Image Processing.
Device driver development, including GPU or CPU
Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
Exposure to Embedded systems and Real-time operating systems
Experience working with ARM architecture
Familiarity with Git or other SCM tools
Writes code for well-defined features, drivers, and APIs using different languages (e.g., C, C++, Python).
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.
$123,700.00 - $185,500.00
If you would like more information about this role, please contact Qualcomm Careers .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningapipythonrest

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