GPU Kernel Development Engineer (Multiple Levels Available)

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:

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