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Andromeda Cluster

On-demand GPU resources marketplace for AI

Deployment Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience deploying GPU servers or clusters in production data centers.
  • Knowledge of Linux, BMC and Redfish, firmware management, and hardware diagnostics.
  • Experience commissioning direct liquid-cooled racks.
  • Ability to run a site without close supervision and escalate issues early.
  • Ability to spend periods onsite.

Responsibilities

  • Receive hardware and perform rack-and-stack, cabling, power-on, firmware, burn-in, and acceptance testing.
  • Direct integrators and contractors day to day against the build plan.
  • Inspect builds against the design, manage punch lists, and close issues before acceptance.
  • Document deployments, maintain as-built records, and hand over validated clusters to the operations team.
  • Create deployment runbooks and checklists to shorten subsequent builds.

Desired Qualifications

  • Experience bringing up GB200 or GB300 NVL72 rack-scale systems.
  • Scripting for provisioning, burn-in, and inventory.
  • Experience at an original equipment manufacturer or systems integrator delivering large builds.

About the Company

Andromeda Cluster

On-demand GPU resources marketplace for AI

Andromeda AI Inc. runs a GPU compute marketplace that connects companies with a global network of providers for on-demand AI training and inference. It routes jobs across hundreds of providers—data centers, cloud services, and idle hardware from mining operations—handling sourcing, benchmarking, contracting, and a single consolidated billing flow. The platform differentiates itself by aggregating diverse compute sources and delivering end-to-end management, including the Andromeda Pricing Index to show fair, region- and contract-specific GPU prices, appealing especially to startups and labs that need flexible access. Its goal is to increase compute liquidity for AI workloads, making high-performance GPUs easier to access and more affordable for AI development and research.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2023

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