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Massed Compute

Rents its own NVIDIA GPUs for AI and rendering work

Infrastructure Operations Specialist

Inventory ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Experience in supply chain management, analytics, or logistics, with a track record of accurately tracking physical assets at scale and informed views on where tracking breaks down.
  • Working fluency in data center fundamentals, including racks, power, cooling, cabling, and density, sufficient to make placement decisions and work credibly with site teams.
  • Experience coordinating work across organizations that do not report to you, including vendors with their own priorities.
  • Ability to build repeatable processes early when performing work repeatedly.
  • Strong personal organization and ability to manage many parallel threads, supported by a system rather than memory.
  • Strong written communication, especially making status clear to people who do not want a status meeting.
  • Ownership and follow-through, including staying with a deployment through acceptance rather than handing it off at delivery.
  • Fluency with AI tools and interest in using them to automate repetitive operations work.

Responsibilities

  • Decide equipment placement across the site portfolio, balancing power and cooling headroom, rack density, customer adjacency, deployment speed, and each site's intended use over the next year.
  • Track each shipment from purchase order through production, maintaining chain of custody and knowing its location and whether it is late at every stage.
  • Run deployments and redeployments by coordinating facilities, networking, storage, and platform teams, and move capacity between sites as demand or economics change.
  • Own warranty, return merchandise authorization, and servicing processes; drive hardware failures through vendor and depot processes to resolution, track obligations, and hold vendors to commitments.
  • Select, implement, and maintain the fleet asset and inventory system of record, including the reconciliation discipline needed to keep it accurate.
  • Design reporting on equipment arrival, capacity availability, and risks so leadership and the commercial team can plan against actual conditions.
  • Support solutions engineering by establishing what can credibly be committed to customers and by when, and flagging at-risk commitments early.
  • Manage vendor and remote-hands relationships, service-level agreements, and escalation paths with integrators, remote-hands providers, and logistics partners.
  • Investigate the actual causes of deployment delays or missing hardware and change processes to prevent recurrence.
  • Use AI tools to automate tracking, reporting, vendor follow-up, and documentation.
  • Build a single trusted view of owned hardware and its state, reduce the time from equipment arrival to production, establish a warranty and return merchandise authorization process, and provide teams with a forward view of fleet capacity.

Desired Qualifications

  • Typically 3–8+ years of professional experience in data center operations, infrastructure deployment, hardware or IT asset management, supply chain and logistics operations, technical program management, or a similarly high-responsibility role.
  • Experience at a high-growth technology company, rapidly scaling startup, infrastructure operator, or similarly demanding environment.
  • Hands-on experience with hardware deployment lifecycles, including receiving, installation, commissioning, failure, return merchandise authorization, redeployment, and decommissioning.
  • Experience implementing or materially rebuilding an asset management, inventory, or data center infrastructure management system relied on by other teams.
  • A bachelor's degree or equivalent combination of education, training, and experience.
  • Experience with GPU infrastructure, including its density, cooling, failure modes, return merchandise authorization timelines, and the operational cost of a failed node.
  • Experience running deployments across multiple sites or colocation providers simultaneously.
  • Experience managing warranty and return merchandise authorization processes at volume with original equipment manufacturers, integrators, or resellers.
  • Experience building lightweight internal tooling or automation to improve operations without adding headcount.
  • Fluency with AI tools such as Claude, Claude Code, and Codex, and related workflow automation tools.

About the Company

Massed Compute

Rents its own NVIDIA GPUs for AI and rendering work

Massed Compute rents NVIDIA GPU computing power to developers, researchers, visual effects studios, startups and enterprises running AI, rendering and scientific simulation work. It owns the servers it rents instead of reselling another provider's capacity, and its own engineers manage the hardware and networking in high-availability data centers. Customers launch virtual machines by the hour, lease single-tenant bare-metal servers for private workloads, or order multi-node clusters linked by high-speed networking for large training runs. Revenue comes from hourly rental rates published on its website and quoted terms for dedicated servers and clusters. Massed Compute was founded in 2021 and is headquartered in Seattle, Washington.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2021

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