AI Infrastructure Engineer

Job Summary

Seeking a skilled AI Infrastructure Engineer for a full-time remote position, responsible for designing and operating GPU infrastructure for AI workloads, building resource-sharing systems, and integrating various ML frameworks into a unified platform.

Key Responsibilities

• Design and operate GPU and accelerator infrastructure for training and inference across on-prem and cloud environments
• Build scheduling and resource-sharing systems to maximize accelerator utilization
• Integrate ML frameworks into a cohesive 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, platform, or HPC engineering
• Hands-on experience with GPU clusters or large-scale ML training infrastructure
• Strong proficiency in Python and at least one systems language such as Go or C++
• Deep understanding of distributed training and accelerator architectures