AI Infrastructure Engineer

Job Summary

Seeking a full-time AI Infrastructure Engineer to design, build, and operate the platform layer for large-scale AI training and inference workloads in a 100% remote environment, focusing on GPU clusters, distributed training frameworks, and resource optimization.

Key Responsibilities

• Design and operate GPU and accelerator infrastructure for AI workloads across on-prem and cloud environments
• Build scheduling and resource-sharing systems to maximize accelerator utilization for multiple teams
• Integrate various ML frameworks into a unified platform while ensuring high-performance storage and data pipelines

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• Six or more years of experience in infrastructure or platform engineering
• Hands-on experience with GPU clusters or large-scale ML training infrastructure
• Strong proficiency in Python and at least one systems programming language like Go or C++
• Deep understanding of distributed training and accelerator architectures