C
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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Crusoe · San Francisco
