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ai&

Builds enterprise AI platform with governance

Data Center Infrastructure Technician - Infrastructure Technician

System AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proven experience performing rack and stack, cabling, and hardware operations in a data center environment.
  • Experience handling and installing high-density GPU servers and associated networking hardware.
  • Ability to triage hardware failures, identify failed components, and execute replacements efficiently.
  • Strong cable management skills, including clean, documented, and maintainable installations.
  • Ability to follow procedures carefully and document work thoroughly.

Responsibilities

  • Physically install GPU servers, networking equipment, storage, and supporting hardware into racks, following standards for organization, labeling, and cable management.
  • Run, dress, and document power, InfiniBand, NVLink, and Ethernet cabling; maintain accurate cable documentation for every installation.
  • Perform initial hardware bring-up after physical installation, including power-on testing and connectivity verification, and hand off to the systems team for software provisioning.
  • Manage day-to-day physical hardware operations across the fleet, including component swaps, RMAs, drive replacements, and hardware failure triage.
  • Maintain accurate physical hardware asset records, track inventory, manage spare parts, and coordinate with procurement on hardware needs.
  • Respond to NOC hardware alerts requiring physical intervention.
  • Support data center deployments from hardware delivery through rack, stack, cabling, and bring-up, enabling new capacity to reach production.

Desired Qualifications

  • Familiarity with NVIDIA systems, InfiniBand cabling, and high-density power distribution.

About the Company

ai&

Builds enterprise AI platform with governance

AI&D builds an enterprise AI platform and offers end-to-end AI services to help organizations adopt, govern, and deploy AI across operations, covering strategy, data governance, use-case discovery, and production implementation. It aligns AI with business goals through maturity assessments, data strategy, governance, readiness checks, proofs of concept, and hackathons, and it develops frontier models in language, video, and multimodal domains with continual learning to improve security and performance while integrating with client systems. It differentiates itself by offering a unified global platform across multiple modalities, with a strong emphasis on continual learning, data governance, and hands-on enablement tailored to enterprise environments rather than only building models. Its goal is to help enterprises transform operations and create measurable business value by embedding AI into core processes with productive, scalable, and secure AI-enabled systems.

Company size
11-50
Company stage
Seed
Total funding
$57.8M
Headquarters
Yokohama, Japan
Founded
2026

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