Cerence Inc. is seeking an ML Infrastructure Engineer to design and operate distributed training systems for large neural networks across GPU clusters.
You will optimize multi-node, multi-GPU execution and diagnose bottlenecks in compute, memory, and networking to maximize throughput and training stability. You will partner with research and applied ML teams to productionize large-model training pipelines using PyTorch Distributed, Megatron-LM, and DeepSpeed, with emphasis on scalable,
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