Full-stack hardware debugging mastery - Deep understanding of GPU/CPU architecture, memory subsystems, BIOS/UEFI/BMC firmware, high-speed interconnects (PCIe/CXL/InfiniBand/RoCE), NVMe storage, and power/thermal management; experience validating systems from deployment through production at node and cluster scale; proven track record debugging issues across hardware, firmware, drivers, and software in distributed ML infrastructure. Platform expertise - Experience with AMD and / or NVIDIA HW and Software stacks - EPYC CPUs, Instinct GPUs, ROCm software stack, or AMD networking technologies, and/or NVIDIA Grace CPUs, H100/B200/GB200 GPUs, CUDA/cuDNN/NCCL/TensorRT software stack and InfiniBand/NVLink networking technologies.