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GPU Machine Learning Engineer

1 month ago

San Diego, United States Qualcomm Full time

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 framworks  on Android, Linux and Windows.

As a GPU Software Machine Learning  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,   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.

Ideal Candidate Will Have

  • 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
  • Excellent interpersonal and analytical skills with the ability to work independently

Preferred Skills:

  • Device driver development, including GPU or CPU
  • Programming experience with  Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12
  • Knowledge of GPGPU application development including Mathematical Operations and Image Processing.
  • Exposure to Embedded systems and Real-time operating systems
  • Experience working with ARM architecture
  • Familiarity with Git or other SCM tools

Desired Work Experience:

  • (Preferred) 1+ years in software development using C, C++, Python, or Java.
  • (Preferred) 1+ years in a software engineering environment
  • (Preferred) Exposure to software development lifecycle