Job Description

xAI is seeking a highly motivated network engineer with deep experience in RoCEv2 to develop and optimize hyper-scale networks for AI training and inference workloads. The role involves optimizing network performance, designing new network infrastructure, and contributing to deployment and operations frameworks.

Responsibilities

• Develop at hyper scale while optimizing performance and availability
• Optimize network performance for training and inference models
• Build metric dashboards and tweak configurations
• Design next-generation backend and front-end networks
• Participate in on-call rotation and scaling/maintenance efforts
• Travel to data centers for buildouts and team collaboration

Requirements

• 10+ years designing/operating large-scale networks
• 5+ years in ethernet AI/HPC space
• Deep understanding of ethernet congestion control
• Deep understanding of AI training/inference workloads
• NCCL debugging and potential contribution experience
• Expertise in creating performance/operations metrics
• Python scripting for automation and data analysis

Benefits

• No benefits