Senior GPU 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 manage the allocation and optimization of a high-performance GPU fleet. You will align customer demand with physical hardware constraints, develop bin-packing and utilization models, forecast demand, coordinate capacity execution across infrastructure and data center operations, and help automate scheduling and visualization processes.
Requirements
- 3+ years of experience in infrastructure capacity planning, technical product management, or systems engineering
- Experience with machine-level resource scaling
- Experience in a hyperscaler cloud environment or large-scale accelerated compute cloud
- Understanding of GPU topologies, including NVIDIA H100 and B200 ecosystems
- Ability to communicate infrastructure constraints to business stakeholders
- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field
Responsibilities
- Develop and execute GPU bin-packing strategies
- Align commercial pipeline demand with physical hardware constraints
- Collaborate with fleet management, infrastructure engineering, and data center operations
- Design models to track GPU cluster headroom, workload density, and allocation velocity
- Forecast demand based on commercial signals and AI training and inference trends
- Translate manual allocation processes into automated scheduling and visualization tools
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