GPU Research Engineer – AI (San Diego / Boxborough)

Stack

Responsibilities

• ▹Collaborate with other GPU architects to design new hardware features and enhance architectures for GPGPU, ML, and AI workloads
• ▹Develop architectural solutions for diverse platforms, including mobile, WoS, and data center GPUs
• ▹Work closely with software teams, hardware design teams, standardization bodies, and partners
• ▹Participate in open-source GPGPU/ML/AI projects
• ▹Influence the evolution of GPU capabilities for advanced use cases such as LLMs and large vision models (LVMs)

Requirements

• ▹Strong understanding of GPU architectures, programming models, and application domains
• ▹Proficiency with APIs such as OpenCL, CUDA, Vulkan, or Direct3D 12
• ▹Solid programming skills in C/C++
• ▹Familiarity with Python is a strong plus

Nice to have

• ▹Hands-on experience developing, debugging, and optimizing CUDA and OpenCL kernels and GPU compute shaders
• ▹Deep understanding of quantization techniques and data types for LLMs and LVMs
• ▹Experience designing GPU hardware features for ML/AI acceleration
• ▹Contributions to well-known open-source projects
• ▹Experience with open-source projects such as llama.cpp, vLLM, or similar frameworks

Soft skills

What we offer

• ▹Competitive annual discretionary bonus program
• ▹Annual RSU grant opportunity
• ▹Highly competitive benefits package

About the company

Qualcomm's GPU Research Team develops next-generation GPU architectures for platforms ranging from mobile devices to data center GPUs, with a focus on accelerating AI and ML workloads.