Senior GPU Capacity Planner

Responsibilities

• Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within data centers
• Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering
• Collaborate with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime
• Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities
• Synthesize commercial demand signals and AI architectural trends to inform hardware placement and scheduling
• Partner with Core Software Engineering to translate manual allocation processes into automated programmatic tools

Requirements

• 3+ years of experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering
• Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud)
• Solid foundational understanding of GPU topologies such as NVIDIA H100/B200 ecosystems
• Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or a quantitative field

Preferred Qualifications

• Deep technical familiarity with distributed AI training frameworks
• Knowledge of multi-tenant cloud storage dynamics
• Passion for green energy and environmental sustainability

About the Company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power the world's most ambitious AI workloads using an energy-first approach.