GPU Machine Learning Engineer

Qualcomm is seeking a GPU Machine Learning Engineer to join their innovative technology team in San Diego. This role sits at the intersection of graphics processing and machine learning, where you'll be working on cutting-edge technology that powers next-generation gaming, XR, and AI experiences.

As a GPU Machine Learning Engineer, you'll be responsible for architecting, designing, implementing, and optimizing GPU software and features. You'll work with various neural network architectures including CNNs, LLMs, and LVMs, while utilizing your expertise in C++ programming and GPU optimization techniques through OpenCL or CUDA.

The position offers a competitive salary range of $122,800 to $184,200, along with attractive benefits including annual bonuses, RSU grants, comprehensive health coverage, and educational assistance. You'll be part of a collaborative environment where you'll work with cross-functional teams to push the boundaries of what's possible in GPU and machine learning technology.

Qualcomm provides an excellent environment for career growth, offering opportunities to work alongside leading engineering and technology experts in the industry. The company's commitment to innovation and technological advancement makes it an ideal place for those passionate about machine learning and GPU technology.

The role requires a strong foundation in software development, particularly in C++ programming, and a deep understanding of mathematical operations including linear algebra. You'll be involved in writing code for features and APIs, identifying and solving design challenges, and creating detailed technical documentation.

This position is perfect for someone who combines technical expertise in GPU programming with machine learning knowledge, and who is excited about contributing to groundbreaking advancements in mobile and AI technology. Join Qualcomm to be part of a team that's shaping the future of technology while working on projects that impact millions of devices worldwide.