GPU HW Research Engineer (San Diego/Boxborough)
Core
Design next-generation GPU architectures for AI, ML, and GPGPU workloads across mobile, Windows on Snapdragon, and data center platforms.
Role type
Senior IC GPU hardware architect
Builds
GPU hardware features and architectures
Domain
Semiconductor / GPU / AI & ML
Deliverable
production ML models
Required skills
GPU architecture design, hardware design flow, Verilog/VHDL, hardware simulation/emulation, GPU memory/cache hierarchy, C/C++ programming, CUDA/OpenCL/Vulkan/Direct3D 12 APIs
Preferred skills
CUDA/OpenCL kernel optimization, quantization techniques for LLMs/LVMs, GPU hardware feature design for ML/AI, open-source framework experience (llama.cpp, vLLM)
Responsibilities
Collaborate with GPU architects to design new hardware features and enhance existing architectures; Develop architectural solutions for diverse platforms (mobile, WoS, data center); Work with software teams, hardware design teams, and standardization bodies; Participate in open-source GPGPU/ML/AI projects; Influence GPU capabilities for LLMs and LVMs
Seniority
Senior, hands-on IC
