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.
Requirements
- 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
- Device driver development, including GPU or CPU
- Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
Responsibilities
- working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows.
- developing & optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX.
- 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
Other
- Excellent interpersonal and analytical skills with the ability to work independently
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field.
- Master's Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
