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AI Infrastructure Operations Engineer - Compute & Storage - Highrise AI

Hut 8Remote
Type
Full-time
Work setup
Hybrid
Experience
Mid
Posted
1 day ago

What operations roles in crypto pay

34 salaries · our own data
median $141k$80k$218k

Most operations roles in crypto pay between $80k and $218k, with a median of $141k.

As an AI Infrastructure Operations Engineer at Highrise AI (a subsidiary of Hut 8 Corp.), you provide Tier 2 operational support for large-scale GPU compute and storage platforms. You own technical tickets, restore service, investigate recurring issues, and maintain reliable day-to-day operation of production AI clusters, working closely with the NOC, on-site technicians, SRE teams, and senior infrastructure engineers.

What you'll do

  • Own and manage escalated incidents, service requests, and problem tickets from initial technical triage through resolution, escalation, or documented handoff.
  • Diagnose compute and storage faults using system logs, monitoring dashboards, management interfaces, and approved diagnostic tools.
  • Assess severity and customer impact; coordinate with the NOC and site teams to restore service within operational and SLA targets.
  • Produce clear troubleshooting records, timely ticket updates, shift handovers, and actionable Tier 3 or OEM escalations.
  • 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 validation using established automation and runbooks.
  • Investigate Kubernetes and Slurm node or workload failures, working with platform engineers when application or scheduler-level escalation is required.
  • Perform first-level analysis of connectivity or GPU communication symptoms and engage network or Tier 3 engineers for deeper fabric and performance investigation.
  • Monitor and troubleshoot distributed and high-performance storage systems, including capacity, throughput, availability, and client connectivity.
  • Investigate filesystem mount failures, storage-node or disk alerts, degraded services, and access or performance complaints.
  • Execute approved recovery, maintenance, and component replacement workflows with storage vendors and data hall technicians.
  • Support operational tasks across file, object, and block storage platforms as deployed at Highrise sites.
  • Assist with upgrades, planned maintenance, cluster expansions, and validation activities following established change controls.
  • Maintain accurate asset, configuration, and ticket records; improve runbooks, troubleshooting checklists, and knowledge articles.
  • Identify recurring incidents and automate repeatable operational work with scripts and existing infrastructure management tools.
  • Collaborate with remote engineering teams, on-site technicians, OEMs, and vendors to resolve issues safely and efficiently.

What you bring

  • A bachelor's degree in computer science, engineering, or a related discipline, or equivalent hands-on experience.
  • 3 to 6 years of experience supporting Linux servers, HPC, cloud, or data center infrastructure in a production environment.
  • Practical troubleshooting experience with enterprise compute hardware, BMC interfaces (iDRAC, iLO, or equivalent), operating systems, and monitoring tools.
  • Working familiarity with storage technologies such as NFS, distributed filesystems, object storage, and storage performance fundamentals.
  • Experience using ticketing systems, change management procedures, and Bash or Python scripting for routine diagnostics and automation.
  • Structured, evidence-driven troubleshooting with sound judgment on when to remediate, collaborate, or escalate.
  • Strong ownership of tickets, attention to operational detail, and commitment to reliable customer service.
  • Ability to work effectively across NOC, SRE, hardware, network, storage, and Tier 3 engineering teams.
  • Clear written and verbal communication in English.

Nice to have

  • Exposure to NVIDIA GPU systems, InfiniBand/RDMA, Kubernetes, Slurm, or AI/HPC storage platforms.

What we offer

  • Full-time engineering role supporting large-scale AI compute infrastructure across multiple sites.
  • Hybrid or remote work depending on location.
  • Travel to data centers for cluster commissioning, acceptance, and complex troubleshooting.
  • Opportunity to work with bright, driven peers from a range of educational and professional backgrounds.
  • Access to a leadership team of serial entrepreneurs and seasoned executives.
  • Steep learning curve with lessons from both senior and junior team members.
  • Ability to build a professional network at the intersection of technology, energy, and infrastructure.

About Highrise AI

Highrise AI is a GPU-native infrastructure platform built for modern AI workloads, delivering scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. Highrise combines bare-metal performance with full-stack orchestration, API-driven access, and hardware-enforced isolation to support training, fine-tuning, and production-scale deployment of AI models. Highrise is a subsidiary of Hut 8 Corp., an energy infrastructure platform that integrates power, digital infrastructure, and compute at scale.

Context for this role

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