Lead AI Training Infrastructure Engineer

Genesis seeks a senior ML infrastructure engineer to design and optimize distributed training systems on multi-node GPU clusters. You will push wall-clock time to convergence by profiling, refining data pipelines, and low-level kernels in CUDA/CuDNN/Triton.

You will build scalable PyTorch-based workflows, balance CPU/GPU workloads, and develop monitoring tools to diagnose performance regressions at scale.

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