Remote Principal AI Infrastructure Engineer

Hut 8 Corp.

United States

Sur place

USD 180 000 - 260 000

Plein temps

Il y a 40 heures
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Résumé du poste

Highrise AI seeks a senior, hands‑on AI Cluster Integration Engineer to bring large‑scale GPU compute clusters from physical installation to validated, commercially ready production. Working with senior infrastructure engineers, this role owns cluster bring‑up, bare‑metal provisioning, advanced system configuration, performance optimization, and acceptance testing.

After deployment, the engineer provides Tier 3 escalation and sustained performance support for clusters, focusing on compute

Qualifications

  • Bachelor's degree or equivalent practical experience in CS or a related field.
  • 8+ years of hands-on Linux systems engineering, HPC, or large-scale infrastructure.
  • Proven experience bringing GPU/HPC clusters into production with performance targets.
  • Strong Python/Bash/Ansible scripting and automation skills.

Responsabilités

  • Lead bring-up of GPU compute clusters from installation to production readiness.
  • Configure and optimize bare-metal provisioning, imaging, and node setup at scale.
  • Validate BIOS, firmware, drivers, and cluster software stacks for performance.
  • Integrate Kubernetes and Slurm; coordinate with cross-functional teams.
  • Perform Tier 3 incident support and drive continuous improvement.

Connaissances

Linux systems engineering
HPC
Cloud infrastructure
Kubernetes
Slurm
NVIDIA GPU platforms
NCCL
Python
Bash
Ansible
Bare-metal provisioning
System diagnostics

Formation

Bachelor's degree in computer science or related field

Outils

Kubernetes
Slurm
NVIDIA NCCL
NVIDIA GPU drivers

Description du poste

Highrise AI seeks a senior, hands‑on AI Cluster Integration Engineer to bring large‑scale GPU compute clusters from physical installation to validated, commercially ready production. Working with senior infrastructure engineers, this role owns cluster bring‑up, bare‑metal provisioning, advanced system configuration, performance optimization, and acceptance testing.

After deployment, the engineer provides Tier 3 escalation and sustained performance support for clusters, focusing on compute

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