HPC Operations Lead (AI)

TL;DR

HPC Operations Lead (AI): Managing reliability and excellence of HPC data center environments with an accent on critical facility systems and AI-driven operational workflows. Focus on leading multi-site teams, designing preventative maintenance programs, and optimizing hardware break-fix functions.

Location: On-site 5 days/week in Chicago or New York; regular travel to HPC data center sites is a core requirement

Company

hirify.global Group is a world-class research and trading firm that applies cutting-edge scientific research to global financial markets.

What you will do

• Lead and manage data center site leads and their teams across multiple HPC facilities.
• Develop and enforce operational standards for power, cooling, cabling, and hardware lifecycle.
• Design and own the preventative maintenance program to minimize unplanned downtime.
• Own the HPC data center monitoring strategy and lead critical incident response and root cause analysis.
• Manage hardware break-fix functions and maintain expertise in server and switch architectures (Arista, Cisco).
• Champion AI adoption to automate workflows and analyze telemetry data.

Requirements

• 7+ years of data center operations experience, with at least 3 years leading teams in 24/7 critical environments.
• In-depth knowledge of power distribution and cooling technologies (air and liquid cooling).
• Deep expertise in server hardware (GPUs, NVMe, BMC/IPMI) and network switch hardware.
• Strong Linux systems proficiency and knowledge of L2/L3 networking protocols (BGP, OSPF).
• Must be based in Chicago or New York and work on-site 5 days/week.
• Willingness and ability to travel regularly to data center sites.

Nice to have

• Programming or scripting experience, preferably in Python.
• Bachelor's degree.
• Knowledge of industry standards including ASHRAE and TIA-942.

Culture & Benefits

• Unique culture based on fearlessness, creativity, and intellectual honesty.
• Collaborative environment focused on winning together and unlocking individual talent.
• Opportunity to work with world-class research and cutting-edge technology in financial markets.
• High standards for work quality and operational discipline.