Real production experience with at least one major inference engine (TensorRT-LLM, vLLM, SGLang or similar) and with the techniques that define modern serving: continuous batching, paged KV cache, speculative decoding, prefill/decode disaggregation, quantization and tensor, pipeline and expert parallelism. Deep, current, hands-on CUDA and GPU architecture expertise: kernel design, memory hierarchy and occupancy, Tensor Cores, fused kernels, CUDA Graphs, NCCL, and the profilers (Nsight Systems and Compute) that show exactly where a microsecond goes.