An engineer/researcher role focused on optimizing LLM inference on modern GPUs: developing and tuning CUDA kernels, analyzing GPU memory and execution bottlenecks, and benchmarking latency and throughput with frameworks like vLLM, SGLang, and TensorRT-LLM. Deep CUDA/GPU programming and low-level performance debugging skills are central to the day-to-day work.
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