A principal-level engineer on Nscale's AI Infrastructure Operations team who defines how multi-thousand-GPU AI clusters are validated and tuned for production: building Python control-plane and burn-in tooling, running real distributed training/inference workloads, and debugging performance across GPUs, InfiniBand/RoCE fabrics, storage, and SLURM/Kubernetes schedulers.
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