Qualcomm Senior GPU Machine Learning Engineer 

United States, California, San Diego 

284425179

Job Area:

Engineering Group, Engineering Group > Graphics Software Engineering

Minimum Qualifications:

• Bachelor's degree 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.

Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 1+ year 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.

• 1+ year of academic and/or work experience with one or more programming language suitable for graphics (e.g., C++, C).

Required 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.

• 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.

:

$116,900.00 - $175,300.00