Senior GPU Machine Learning Engineer

Qualcomm, a global leader in technology innovation, is seeking a Senior GPU Machine Learning Engineer to join their cutting-edge team. This role sits at the intersection of GPU technology and machine learning, offering an exciting opportunity to shape the future of AI acceleration and graphics processing.

The position involves architecting, designing, and implementing solutions that push the boundaries of what's possible in next-generation gaming, XR, and AI experiences. As a Senior GPU Machine Learning Engineer, you'll be working with state-of-the-art technology and collaborating with world-class experts in both graphics and machine learning domains.

The role offers a competitive compensation package ranging from $116,900 to $175,300, complemented by annual bonuses and RSU grants. Qualcomm provides comprehensive benefits including health coverage, 401k, and continuous learning opportunities through tuition reimbursement and mentorship programs.

Key responsibilities include optimizing GPU hardware performance, developing sophisticated drivers and tools, and implementing machine learning solutions. You'll need strong C/C++ programming skills, deep knowledge of machine learning theory, and experience with frameworks like PyTorch and GPGPU APIs like CUDA or OpenCL.

This is an ideal opportunity for someone who wants to work at the forefront of technology, contributing to innovations that impact millions of devices worldwide. You'll be part of a collaborative environment that values technical excellence and creative problem-solving, while working on projects that define the future of mobile and embedded AI computing.

The position is based in San Diego, California, at Qualcomm's headquarters, where you'll have access to cutting-edge resources and the opportunity to work alongside industry leaders in both GPU and machine learning technologies. The role offers significant growth potential and the chance to make meaningful contributions to next-generation AI and graphics solutions.