Job Description
General Summary:The 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. This role will involve working on Graphics software stack and Machine Learning SDKs and frameworks on Android, Linux and Windows. As a GPU Software Machine Learning Engineer, you will work on enabling DirectML on Adreno GPU including kernel development for operators, validating functionality and performance. 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, 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 and working with our partners, external developers, and OEMs.
Responsibilities + Skills
Strong C/C++ programming skillsStrong knowledge of Machine Learning TheoryFamiliarity with a Deep Learning Framework such as Pytorch
Education
Bachelor's degree 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.
Experience
PhD 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.