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Cotidal

AI-focused supercomputing infrastructure provider

Data Center Operations Engineer

IT OperationsConfirmed live in the last 24 hours
Full-timeTwin Cities, MN, USA

About the Job

Requirements

  • At least 5 years of experience in data center operations, deployment, or hardware support at a hyperscale, colocation, high-performance computing, or AI/GPU site.
  • Hands-on experience with rack-and-stack work, copper and fiber cabling, cable management, labeling, and server diagnosis and repair down to the component level.
  • Working knowledge of three-phase power, power distribution units, breakers, busway, and air and liquid cooling sufficient to identify problems and work with facilities staff.
  • Basic physical-layer and Layer 2 networking knowledge, including optics and port troubleshooting, and comfort using the Linux command line.
  • Experience receiving, tracking, and shipping equipment; maintaining asset inventory; and coordinating vendors, integrators, and colocation providers.
  • Ability to produce clear written tickets, escalations, and status updates that another team can act on, and to work independently as the only employee onsite.
  • Ability to lift and move 50 pounds, stand for extended periods, kneel, climb ladders, and work in hot and cold aisles with high noise.
  • Must complete a background check and comply with facility access requirements.

Responsibilities

  • Own site bring-up by checking power, cooling, cable pathways, floor loading, and security readiness with the colocation provider and integrators, and building the installation, acceptance-testing, and production-handover plan.
  • Receive and inspect deliveries, reconcile purchase orders and packing lists, record serial numbers, and coordinate dock time, rigging, staging, and storage.
  • Maintain accurate inventory, manage return merchandise authorizations, and follow chain-of-custody and media-destruction procedures.
  • Rack and stack compute, accelerator, network, and storage systems, and install in-rack power distribution units.
  • Run, dress, label, and test copper and fiber cabling; inspect and clean optics.
  • Supervise third-party installation and cabling crews, check their work, and close installation punch lists.
  • Handle remote-hands requests within agreed response times, diagnose and replace failed components by runbook, and coordinate with the colocation provider, original equipment manufacturers, and remote engineering teams.
  • Monitor rack power, temperatures, and liquid-cooling alarms, and escalate facility issues to the provider.
  • Investigate hardware, power, cooling, and physical-network faults; resolve issues within scope; document evidence for escalations; and contribute to root-cause reviews and corrective actions.
  • Keep rack elevations, cable maps, asset and access records, and maintenance procedures current.
  • Enforce site safety, access control, and change-control practices; turn repeated issues into runbooks; identify tools and spares needs; and help hire and train technicians as the site grows.
  • Work on-call for site incidents and perform after-hours work during deployment and maintenance windows.
  • Travel up to approximately 20% for new site bring-ups and Bay Area team meetings.

Desired Qualifications

  • Experience leading or supporting an AI accelerator cluster bring-up from first delivery to production handover.
  • Experience with liquid-cooled racks, including cooling distribution units, manifolds, quick disconnects, and leak detection.
  • Experience with 400G/800G optics, RoCE or InfiniBand, and fiber testing using optical time-domain reflectometers or optical power meters.
  • Experience writing standard operating procedures, methods of procedure, and runbooks, and using structured root-cause methods.
  • Experience as a tenant in a third-party colocation facility, using ticketing, data center infrastructure management and inventory tools, or writing Python or Bash scripts.
  • Relevant server, networking, cabling, data center, or electrical-safety certifications or training, such as CompTIA Server+ or Network+, CCNA, BICSI, CDCP, NFPA 70E, or OSHA training.

About the Company

Cotidal

AI-focused supercomputing infrastructure provider

Cotidal builds specialized AI compute infrastructure, creating supercomputers for training and running large AI models for leading AI companies and research labs. Its approach pairs hardware and software in a single design, engineering silicon, code, and data-center deployment together to maximize performance for AI workloads; initially it centers on TPUs with a goal of supporting multiple chip stacks later. This holistic co-design differentiates Cotidal from vendors that sell hardware or software separately, aiming for hardware-agnostic efficiency as chip tech evolves. Its goal is to speed breakthroughs in AI by providing scalable, integrated compute for fields like medicine, physics, and robotics.

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