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Hut 8
Hut 8
51 – 200 Employees
Artificial IntelligenceCryptoWeb 3
Hut 8 builds and operates high performance computing infrastructure for Bitcoin mining and other digital workloads. Its services include hosting, managed operations, and repair for Bitcoin mining equipment, alongside computing capacity for areas such as blockchain and artificial intelligence. Hut 8’s facilities draw on varied energy sources, including renewables, and are located in cooler climates that can support efficient mining operations. The company works across crypto, AI, and Web3, bringing together infrastructure and technical teams to support the digital economy.
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AI Infrastructure Operations Engineer, Compute and Storage

Provide Tier 2 support for Highrise AI’s GPU compute and storage platforms, resolving escalated infrastructure issues. Work across Linux, Kubernetes, Slurm, GPU systems, and distributed storage.

USUnited StatesHybridFull-timeMiddleSeniorEnglish RequiredInfrastructure Engineer
CloudKubernetesLinuxNFSNode.jsPython

Description

  • Deliver Tier 2 operational support for large-scale GPU compute and storage platforms.
  • Take escalated incidents, service requests, and problem tickets through resolution, escalation, or a documented handoff.
  • Diagnose compute and storage faults using logs, monitoring dashboards, management interfaces, and approved diagnostic tools.
  • Assess severity and customer impact, then coordinate service restoration within operational and SLA targets.
  • Record troubleshooting, update tickets, prepare shift handovers, and escalate issues to Tier 3 teams or OEMs.
  • Troubleshoot Linux servers, GPU health alerts, boot failures, firmware and driver issues, hardware faults, and resource availability problems.
  • Support node provisioning, reimaging, configuration changes, routine maintenance, and return-to-service checks.
  • Investigate Kubernetes and Slurm node or workload failures.
  • Analyze connectivity and GPU communication symptoms, involving network or Tier 3 engineers in deeper investigations.
  • Monitor and troubleshoot distributed and high-performance storage systems.
  • Investigate filesystem mount failures, storage node or disk alerts, degraded services, and access or performance complaints.
  • Carry out approved recovery, maintenance, and component replacement workflows with storage vendors and data hall technicians.
  • Support file, object, and block storage platforms.
  • Assist with upgrades, scheduled maintenance, cluster expansions, and validation work.
  • Maintain asset, configuration, and ticket records; improve runbooks, checklists, and knowledge articles.
  • Spot recurring incidents and automate repeatable operational tasks with scripts and infrastructure management tools.
  • Work with remote engineering teams, on-site technicians, OEMs, and vendors.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related field, or equivalent hands-on experience.
  • 3–6 years supporting Linux servers, HPC, cloud, or data center infrastructure in production.
  • Practical troubleshooting experience with enterprise compute hardware, BMC interfaces such as iDRAC or iLO, operating systems, and monitoring tools.
  • Working familiarity with NFS, distributed filesystems, object storage, and storage performance fundamentals.
  • Experience with ticketing systems and change management procedures.
  • Experience scripting in Bash or Python for routine diagnostics and automation.
  • Exposure to NVIDIA GPU systems, InfiniBand/RDMA, Kubernetes, Slurm, or AI/HPC storage platforms is an advantage.
  • Use structured, evidence-driven troubleshooting and sound judgment about remediation, collaboration, or escalation.
  • Demonstrate ownership of tickets and attention to operational detail.
  • Work effectively across NOC, SRE, hardware, network, storage, and Tier 3 engineering teams.
  • Communicate clearly in written and spoken English.
  • Willingness to travel to data centers for cluster commissioning, acceptance, and complex troubleshooting.
  • Flexibility to support critical incidents or maintenance outside regular business hours.

Benefits

  • Directly influence the performance, reliability, and production readiness of large-scale AI clusters.
  • Work with experienced infrastructure engineers.
  • Help establish technical standards for a growing global AI infrastructure platform.
  • Collaborate with colleagues from varied educational and professional backgrounds.
  • Develop and present new product, service, and initiative ideas to leadership.
  • Build a professional network across technology, energy, and infrastructure.
  • Reasonable accommodations are available for individuals with disabilities.

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