Senior GPU Capacity Planner

Crusoe
San Francisco, Sunnyvale, Bellevue
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Problem-solving"]

Senior GPU Capacity Planner responsible for day-to-day management, allocation, and optimization of Crusoe Cloud’s GPU fleet. Partners with Sales, Customer Success, Solutions Engineering, and Fleet Management to map pipeline demands to hardware, minimize fragmentation, maximize cluster utilization, and build automation for scalable scheduling within a cross-functional infrastructure environment.

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Crusoe
Crusoe
2 months ago

Senior GPU Capacity Planner

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Job Summary

Senior GPU Capacity Planner responsible for day-to-day management, allocation, and optimization of Crusoe Cloud’s GPU fleet. Partners with Sales, Customer Success, Solutions Engineering, and Fleet Management to map pipeline demands to hardware, minimize fragmentation, maximize cluster utilization, and build automation for scalable scheduling within a cross-functional infrastructure environment.
Location: San Francisco, Sunnyvale, Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •GPU Fleet Bin-Packing & Optimization: Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within our data centers, minimizing fragmentation and maximizing cluster utilization.
  • •GTM & Pipeline Alignment: Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering, reviewing upcoming pipeline demands and mapping them to physical hardware constraints.
  • •Cross-Functional Capacity Execution: Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime of our customer workloads.
  • •Utilization Modeling & Metrics: Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks.
  • •Strategic Demand Forecasting: Synthesize commercial demand signals and large-scale AI training/inference architectural trends to inform hardware placement and scheduling.

Pay and Benefits

Salary: 195,000
Equity and Bonus:Equity
Perks:Health InsuranceVision401kEquityPaid LeaveParental LeaveLife Insurance

Key Requirements

  • •3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling
  • •Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric
  • •Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems)
  • •Proven ability to communicate complex infrastructure and physical layout constraints clearly to business stakeholders like Sales and Customer Success, while translating commercial requirements back to hardware engineers
  • •Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field
Experience:3+ yearsAI infrastructureCloud servicesData centers
Education:Bachelor's in Computer Science
Skills:CommunicationLeadershipProblem-solving
Tech Stack:NVIDIAH100B200AWSGCPAzureOracle CloudGPUBin-packingSchedulingData center

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
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