JOBS / Liquid AI

Member of Technical Staff - Distributed Training Engineer

San Francisco

Role

The role involves designing and building distributed training infrastructure for GPU clusters to optimize large-scale model training. Candidates must have hands-on experience with PyTorch Distributed, DeepSpeed, or Megatron-LM and expertise in diagnosing performance bottlenecks.

Location: San Francisco
Employment: unspecified
Work pattern: unspecified
Seniority: unspecified

Distributed SystemsPyTorch DistributedDeepSpeedPerformance OptimizationGPU Clusters

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Source and currency

This vacancy came from the organization’s official Ashby feed. Source update: 2025-07-29T21:40:50.841+00:00. Check the employer’s page for the complete description, current availability and application terms.

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