GPU Research Engineer

Qualcomm Technologies, Inc. is seeking a talented GPU Research Engineer to join their GPU Research Team. This role represents an exciting opportunity to work at the forefront of GPU architecture development for AI and machine learning applications. The position requires a minimum of 2 years of experience and offers a competitive salary range of $133,600 to $200,400.

The role involves advancing state-of-the-art capabilities in Artificial Intelligence (AI), Machine Learning (ML), and General-Purpose use of modern GPUs (GPGPU). You'll be working closely with cross-functional teams, including software and hardware design teams, standardization bodies, and both internal and external customers. A key focus will be on developing new GPU architectural features for ML/AI and GPGPU use cases, particularly in areas like large language models (LLM).

Qualcomm offers a comprehensive benefits package including competitive annual bonuses, RSU grants, health coverage, and continuous learning opportunities. The company maintains a supportive, inclusive culture where innovative ideas are encouraged and valued. Working at Qualcomm means joining a team of leading engineering and technology experts in the industry, with opportunities for professional growth through mentorship programs and tuition reimbursement.

The ideal candidate will possess strong understanding of GPU architectures, programming models, and applications, along with expertise in relevant APIs like OpenCL, CUDA, Vulkan, or D3D12. Working knowledge of C/C++ is required, and Python programming skills are highly valued. This position offers the opportunity to make significant contributions to cutting-edge technology development while working with some of the industry's brightest minds.