Qualcomm GPU Machine Learning Engineer Staff 

United States, California, San Diego 

654113007

Job Area:

Engineering Group, Engineering Group > Graphics Software Engineering

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.

Minimum Qualifications:

• 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.

Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work 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.

• 1+ year of work experience with one or more programming language 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

Optional, 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

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$139,000.00 - $208,000.00