GPU Research Engineer

Qualcomm Technologies, Inc. is seeking a talented GPU Research Engineer to join their innovative GPU Research Team. This role represents an exciting opportunity to work at the forefront of GPU architecture development, focusing on advancing state-of-the-art 3D GPU capabilities in Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning.

The position is part of the team responsible for developing the world's most advanced graphics processing unit (GPU) - the Adreno GPU, which is integrated into Qualcomm's System on a Chip (SOC) platforms. These platforms power a wide range of devices including mobile phones, VR/AR headsets, wearables, and laptop computers.

As a GPU Research Engineer, you'll collaborate closely with software teams, hardware design teams, standardization bodies, and both internal and external customers. Your work will directly impact the development and design of new GPU architectural features. The role requires a strong foundation in GPU architecture, programming models, and applications, along with expertise in APIs such as Vulkan, D3D, OpenGL, and/or OpenCL.

The position offers competitive compensation ranging from $161,800 to $242,600, complemented by an attractive benefits package including annual bonuses, RSU grants, comprehensive healthcare coverage, and professional development opportunities. Qualcomm provides a supportive, inclusive culture where innovative ideas are valued and have the potential to contribute to world-changing technologies.

Key responsibilities include discovering customer requirements for next-generation features, developing comprehensive Feature Development Specifications, creating simulators for validation, and contributing to standardization efforts. The role requires either a Bachelor's degree with 6+ years of experience, a Master's degree with 5+ years of experience, or a PhD with 4+ years of experience in relevant fields.

Join Qualcomm's GPU Research Team to work alongside leading engineering and technology experts, pushing the boundaries of what's possible in GPU technology while advancing your career in a dynamic, forward-thinking environment.