Qualcomm
GPU HW Research Engineer (San Diego/Boxborough)
$170K–$254K
Boxborough, Massachusetts · On-site · Full-time · Posted Sep 17, 2026
- Experience
- Bachelor's degree: 4+ years; master's degree: 3+ years; PhD: 2+ years of software, hardware, systems engineering, or related work experience.
- 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 hardware architectures and features to accelerate GPGPU, machine-learning, and AI workloads across mobile, Windows on Snapdragon, and data-center platforms.
What you'll do
- Design new hardware features and enhance existing GPU architectures for GPGPU, ML, and AI workloads.
- Develop GPU architectural solutions for mobile, Windows on Snapdragon, and data-center platforms, working with software, hardware, standards, and partner teams.
- Contribute to open-source GPGPU/ML/AI projects and help shape GPU capabilities for LLMs and LVMs.
What they ask for
- Strong understanding of GPU architectures, programming models, and application domains.
- Proficiency with one or more of OpenCL, CUDA, Vulkan, or Direct3D 12.
- Experience with hardware design flow; basic knowledge of Verilog or VHDL; exposure to simulation/emulation tools and waveform analysis.
- Solid C/C++ programming skills and basic understanding of GPU memory and cache hierarchy.
Nice to have
- Familiarity with Python; hands-on CUDA/OpenCL kernel or GPU compute shader development, debugging, and optimization.
- Experience with GPU hardware features for ML/AI acceleration, quantization and data types for LLMs/LVMs, or open-source frameworks such as llama.cpp or vLLM.
Pay
$169,500.00 - $254,300.00 USD base salary
Tools
OpenCL, CUDA, Vulkan, Direct3D 12, Verilog, VHDL, C/C++, Python
AI focus
Designs GPU architectures and hardware features to accelerate AI and ML, including workloads involving large language models and large vision models.
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