Remote AI Storage Engineer for HPC Clusters

MPower Plus; Stati Uniti; Remoto; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

MPower Plus is seeking a hands-on Production Engineer to design, build, and operate storage for AI training across HPC clusters in a fully remote US role. You will connect high‑performance filesystems, object storage, and data management services to AI compute so training data and checkpoints are fast and reliably available.

You will automate provisioning, scaling, upgrades, and recovery with Kubernetes and infrastructure‑as‑code, move data across clusters and clouds, and maintain reliability

Competenze

• Production distributed storage or large-scale data infrastructure experience.
• Strong Linux skills with production debugging abilities.
• Experience writing automation in Python, Go, C++, or Rust.
• End-to-end ownership of reliability or performance improvements.

Mansioni

• Build and operate distributed storage for AI training across clusters and regions.
• Diagnose and optimize storage performance to prevent training stalls.
• Automate provisioning, scaling, upgrades, and recovery using Kubernetes and IaC.
• Migrate data across clusters and clouds without data loss.
• Maintain reliability via observability, testing, safe rollouts, and incident response with cross-team partners.

Conoscenze

Linux

Performance debugging

Python

Go

C++

Rust

Storage systems

Strumenti

Kubernetes

Terraform

Helm

S3 storage

Lustre

Descrizione del lavoro

MPower Plus is seeking a hands-on Production Engineer to design, build, and operate storage for AI training across HPC clusters in a fully remote US role. You will connect high‑performance filesystems, object storage, and data management services to AI compute so training data and checkpoints are fast and reliably available.

You will automate provisioning, scaling, upgrades, and recovery with Kubernetes and infrastructure‑as‑code, move data across clusters and clouds, and maintain reliability