Staff Compute & Storage Capacity Planner at Crusoe - ScoutJobs - The AI-curated global job board
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Posted 12 hours ago

Staff Compute & Storage Capacity Planner

Crusoe

Requirements

3+ years Infrastructure Capacity Planning experience, Knowledge of enterprise server and storage architectures, Experience in high-growth cloud environments, Degree in Computer Science, Engineering, or quantitative field

Skills

Cloud Infrastructure

About the role

About the Company

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As a vertically integrated AI infrastructure company, they own and operate each layer of the stack to power the world's most ambitious AI workloads using an energy-first approach.

Responsibilities

  • Own and manage multi-quarter capacity plans and allocation models for Compute (CPUs) and multi-tiered Storage platforms
  • Analyze demand signals, historical workload profiles, and product roadmaps to build precise resource consumption forecasts
  • Partner with Sales, Engineering, SRE, Product, Finance, and Supply Chain to translate forecasts into hardware allocations
  • Balance structural cost efficiency, infrastructure unit economics, and hardware utilization targets
  • Define operational metrics and partner with Software Engineering to architect automated capacity workflows and dashboards
  • Perform complex data mining across hardware usage metrics and financial billing pipelines

Requirements

  • 3+ years of experience in Infrastructure Capacity Planning, Systems Engineering, or Technical Product Management
  • Deep technical knowledge of enterprise server configurations, CPU sizing, and File, Object, and Block storage
  • Experience in high-growth public cloud environments or distributed systems
  • Strong communication and cross-functional negotiation skills
  • Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Mathematics, or Data Science

Preferred Qualifications

  • Experience building foundational product requirements for custom software automation tools for resource provisioning or capacity modeling
  • Ability to scale scope into specialized GPU clusters and accelerated AI computing fabrics
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Staff Compute & Storage Capacity Planner

Crusoe · San Francisco

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