Cerence Inc. is seeking an ML Systems Engineer to design and operate distributed training infrastructure for large neural networks across GPU clusters. You will optimize multi-node, multi-GPU execution and diagnose bottlenecks in compute, memory, and networking.
You will collaborate with research and applied ML teams to productionize training pipelines, manage multi-node launches, handle failure recovery, and tune performance for reliability at scale.
#J-18808-LjbffrSenior Principal AI Engineer Distributed Training Architect in Remote at Unknown Company
This position is listed as full time and onsite.