GPU/AI Power Performance Staff Engineer
Core
Develop and maintain GPU power modeling and estimation for diverse AI workloads, analyzing architecture to optimize performance and power.
Role type
Staff IC GPU power performance engineer
Builds
GPU architecture and microarchitecture for AI workloads
Domain
Semiconductor hardware engineering (ASIC/GPU)
Deliverable
production ML models
Required skills
GPU power modeling, ASIC design and verification, low-power ASIC optimization, Python, C++, ML frameworks (TensorFlow, PyTorch), hardware/software collaboration
Preferred skills
CPU/GPU architecture design, low-power ASIC design techniques, GPU driver and compiler development, Vulkan/DirectX3D/OpenGL/OpenCL/Cuda, PrimeTime PX, Power Artist, Verilog/SystemVerilog
Responsibilities
Analyze AI workload characteristics and correlate them with power behavior, contribute to architectural trade-off studies, propose architectural or algorithmic optimizations
Seniority
Staff, hands-on IC
