GPU Kernel Development Engineer, Senior Staff

Qualcomm•San Diego, CA

1d•$178,200 - $267,400

About The Position

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.

Requirements

Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience.
Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience.
PhD in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience.
2+ years of work experience with one or more programming language suitable for graphics (e.g., C++, C).

Nice To Haves

Master's Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
2+ years of relevant GPU experience.
2+ years of experience working in a large matrixed organization.
2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
1+ year in a technical leadership role with or without direct reports.
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

Responsibilities

Developing and optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX.
Accelerating Machine Learning operations for inference and training on the GPU.
Working on runtimes and frameworks that support Machine Learning and other GPGPU operations.
Writing samples and documentation.
Development of unit tests.
Working with partners, external developers, and OEMs.
Close collaboration with hardware designers to understand, improve, and document hardware/software interfaces.