Job Description

xAI is seeking a Network Development 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
• Design next-generation backend and front-end networks
• Build metric dashboards and tweak configurations
• Travel to Memphis for data center buildouts
• Participate in on-call rotation
• Automate repetitive tasks with Python

Requirements

• 10+ years designing and operating large-scale networks
• 5+ years in the ethernet AI/HPC space
• Deep understanding of congestion control on ethernet
• Deep understanding of AI training and inference workloads
• Experience with NCCL
• Expertise in creating performance and operations metrics
• Experience with Python

Benefits

• No benefits