GPU Software Engineer, Staff
3 weeks ago
We are seeking a highly skilled GPU Software Engineer, Staff to join our team at Qualcomm. This role will involve working on the development of software for the latest Machine Learning models on the next generation of devices.
The successful candidate will be responsible for delivering device drivers, extensions for Machine Learning, and tools for Snapdragon chipsets, providing best-in-class performance, power, and features.
This position requires close collaboration with hardware designers to drive improvements in hardware and hardware/software interfaces.
Key Responsibilities:
- Acceleration of Machine Learning operations for inference and training on the GPU
- Implementation of the latest Machine Learning models, including LLMs and LVMs
- Prototyping new hardware/software features
- Writing samples and documentation
- Implementing interfaces to Machine Learning frameworks
- Development of unit tests
Requirements:
- 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
Preferred 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 or OpenCL
About Qualcomm:
Qualcomm is an equal opportunity employer. We are committed to providing an accessible and inclusive environment for all employees and applicants.
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