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GPU Software Engineer

2 months ago

San Diego, California, United States Qualcomm Full time
About the Role

We are seeking a highly skilled GPU Software Engineer to join our team at Qualcomm. As a Machine Learning Engineer, you will play a key role in developing software for the latest Machine Learning models on the next generation of devices.

Key Responsibilities
  • Accelerate Machine Learning operations for inference and training on the GPU
  • Implement the latest Machine Learning models, including LLMs and LVMs
  • Write samples and documentation for Machine Learning frameworks
  • Implement interfaces to Machine Learning frameworks
  • Develop unit tests and collaborate with partners, external developers, and OEMs
Requirements
  • Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field
  • Knowledge of one or more programming languages suitable for graphics (e.g., C++, C)
Desired Skills
  • 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, OpenCL, or DirectML
  • 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