AI Infrastructure Engineer

Job Summary

Seeking a skilled AI Infrastructure Engineer to design, build, and operate the platform layer for large-scale AI training and inference workloads in a full-time remote position, focusing on GPU clusters, distributed training frameworks, and enhancing developer experience for ML engineers and researchers.

Key Responsibilities

• Design and operate GPU and accelerator infrastructure for training and inference, including on-prem and cloud-managed services
• Build scheduling and resource-sharing systems to maximize accelerator utilization across teams
• Integrate ML frameworks into a unified platform and maintain high-performance storage systems 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, accelerator architectures, and collective communication