Senior GPU Machine Learning Engineer

$116,900 - $175,300/Yr

Qualcomm - San Diego, CA

Full-time - Mid Level

San Diego, CA

Computer and Electronic Product Manufacturing

About the position

The Senior GPU Machine Learning Engineer at Qualcomm Innovation Center, Inc. is responsible for architecting, designing, implementing, verifying, and optimizing GPU hardware, drivers, features, applications, and tools. This role involves collaboration with cross-functional teams to enhance next-generation gaming, XR, and AI experiences, leveraging strong programming skills and knowledge of machine learning theory.

Responsibilities

• Architect, design, implement, verify, and optimize GPU hardware and software.
• Collaborate with cross-functional teams to meet customer needs.
• Utilize strong programming skills in C/C++ for graphics applications.
• Apply machine learning theory to enhance GPU performance and capabilities.

Requirements

• Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 2+ years of relevant experience, or a Master's degree with 1+ year of experience, or a PhD in a related field.
• 1+ year of experience with programming languages suitable for graphics (e.g., C++, C).
• 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.

Nice-to-haves

• Device driver development experience, 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.

Benefits

• Competitive annual discretionary bonus program.
• Opportunity for annual RSU grants.
• Comprehensive benefits package designed to support work-life balance.