Staff Compute & Storage Capacity Planner
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/20/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You own multi-quarter capacity plans and allocation models for compute and storage infrastructure. You forecast demand, analyze workload and usage signals, collaborate with engineering, product, finance, sales, and supply chain teams, optimize infrastructure efficiency and financial performance, define planning metrics, automate capacity workflows, and validate hardware and billing data.
Requirements
- 3+ years of infrastructure capacity planning, infrastructure systems engineering, or technical product management experience
- Compute and storage infrastructure
- Enterprise server configurations
- CPU sizing and benchmarking
- File storage
- Object storage
- Block storage
- Public cloud environments
- Distributed systems
- Structured communication
- Documentation
- Cross-functional negotiation
- Bachelor’s or Master’s degree in a technical or quantitative field
Responsibilities
- Own multi-quarter capacity plans
- Manage infrastructure allocation models
- Analyze demand signals and workload profiles
- Build resource consumption forecasts
- Translate product forecasts into hardware allocations
- Balance infrastructure costs and utilization
- Define operational metrics and planning standards
- Automate capacity workflows
- Implement real-time visualization dashboards
- Mine and validate hardware, asset, and billing data
Benefits
- Restricted Stock Units