Senior Hardware Infrastructure 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 8/12/2026
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 will own physical hardware forecasting, supply alignment, and allocation planning for a global infrastructure footprint. You will coordinate bills of materials, vendor lead times, procurement, site readiness, inventory models, and deployment schedules to ensure compute, storage, and networking assets are available when and where needed.
Requirements
- 3+ years of experience in infrastructure supply planning, hardware planning, global supply chain, or operations engineering
- Experience in a large-scale technical network environment
- Experience with public cloud hyperscaler or high-performance computing supply chains
- Understanding of server architectures, hardware components, storage topologies, and data center power and space variables
- Advanced proficiency in forecasting, predictive inventory, or mathematical optimization models
- Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain Operations, Operations Research, Management Science, Computer Engineering, or an equivalent quantitative discipline
Responsibilities
- Build and scale hardware allocation models
- Map customer capacity requirements to server, rack, and component procurement cycles
- Track vendor lead times and mitigate component shortage risks
- Align rack delivery, power allocation, and network availability with deployments
- Translate compute and storage demands into component-level bills of materials
- Model buffer stock and work-in-progress deployments
- Monitor equipment capitalization metrics
- Tune capital expenditures against utilization targets
Benefits
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off
- Paid holidays
- Leave of absence programs
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health and wellness support
- Commuter benefits for parking and transit
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance and emergency assistance
- Daily meals allowance
- Location-specific perks and programs