Datacenter Hardware Operations Technician Lead (AI)

TL;DR

Datacenter Hardware Operations Technician Lead (AI): Serving as the senior on-site technical authority for hardware reliability and fleet health at a flagship AI campus with an accent on diagnosing complex hardware failures and driving root cause analysis. Focus on maintaining world-class operational performance for large-scale GPU, server, and storage infrastructure.

Location: Must be based onsite in Abilene, Texas 5 days per week

Compensation: $86.4K – $228K

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Serve as the senior on-site hardware operations lead for server, GPU, storage, and rack-level infrastructure.
• Drive technical triage and resolution of complex hardware failures impacting production systems.
• Partner with Fleet Health Engineering to investigate recurring hardware issues and improve fleet reliability.
• Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective action plans.
• Collaborate with operations teams and OEM vendors to coordinate repairs, upgrades, and lifecycle activities.
• Establish and improve hardware maintenance procedures, operational runbooks, and troubleshooting standards.

Requirements

• 8+ years of experience supporting large-scale datacenter hardware infrastructure.
• Deep expertise with server platforms, GPU systems, storage infrastructure, and rack integration.
• Proven experience diagnosing complex hardware failures and leading repair efforts in production environments.
• Strong understanding of hardware reliability engineering principles and fleet-health management.
• Ability to partner effectively across engineering, operations, manufacturing, and vendor organizations.
• Must be able to sit onsite in Abilene, Texas 5 days per week.

Nice to have

• Experience supporting large-scale GPU clusters or AI/ML infrastructure environments.
• Familiarity with fleet health systems, telemetry platforms, and hardware monitoring tools.
• Experience with failure analysis methodologies such as FRACAS, RCCA, 5-Why, or FMEA.
• Knowledge of Linux system administration and hardware validation workflows.
• Industry certifications such as CompTIA Server+ or OEM hardware certifications.

Culture & Benefits

• Opportunity to work on world-class AI infrastructure at scale.
• Collaborative environment partnering with top-tier engineering and operations teams.
• Commitment to safety, diversity, and inclusion in the workplace.
• Focus on operational excellence and continuous improvement of infrastructure standards.