GPU Performance Architect for Multimodal Transformers

Source: WhatJobs
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Luma is seeking a seasoned GPU optimization expert to accelerate multimodal transformer training and inference. You’ll write kernels in CUDA/Triton, optimize PyTorch ops, and push hardware to the limit across distributed multi-node deployments.

You'll own profiling, kernel fusion, and performance monitoring, delivering tangible latency and throughput gains while advancing cutting-edge transformer research.

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