Qualcomm
GPU Research Engineer- AI (San Diego / Boxborough )
$170K–$254K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- 4+ years with a bachelor’s degree, 3+ years with a master’s degree, or 2+ years with a PhD in relevant engineering or related work.
- Education
- Bachelor's, Master's, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
About the job
Designs and advances GPU architectures and hardware features to accelerate AI, machine learning, and GPGPU workloads across mobile, Windows on Snapdragon, and data center platforms.
What you'll do
- Design new hardware features and enhance GPU architectures for GPGPU, ML, and AI workloads across diverse platforms.
- Collaborate with software and hardware teams, standards bodies, and partners to deliver GPU solutions.
- Contribute to open-source GPGPU/ML/AI projects and help shape GPU capabilities for large language and vision models.
What they ask for
- Strong understanding of GPU architectures, programming models, and application domains.
- Proficiency with at least one of OpenCL, CUDA, Vulkan, or Direct3D 12.
- Solid programming skills in C/C++.
- Bachelor’s degree in a related field and 4+ years of relevant experience, or a master’s degree and 3+ years, or a PhD and 2+ years.
Nice to have
- Experience developing, debugging, and optimizing CUDA/OpenCL kernels or GPU compute shaders; GPU hardware design for ML/AI acceleration.
- Understanding of quantization and data types for LLMs/LVMs; contributions to open-source projects such as llama.cpp or vLLM.
Pay
$169,500.00 - $254,300.00 USD base salary
Tools
OpenCL, CUDA, Vulkan, Direct3D 12, C/C++, Python, llama.cpp, vLLM
AI focus
GPU architecture and hardware acceleration for AI/ML workloads, including large language models and large vision models.
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