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Senior GPU Capacity Planner

CrusoeSan Francisco, CA - USCloud Engineering
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Salary
$160K - $195K USD
Job type
Full-time
Posted
25 Jun 2026
Status
Open · checked 7d ago

About this role

Crusoe is seeking a full-time Senior GPU Capacity Planner to join the Cloud Engineering department in San Francisco, California. This role suits an experienced professional with a background in infrastructure planning who wants to optimize advanced AI infrastructure and support sustainable computing initiatives.

Role Overview

Operating at the critical intersection of Crusoe's products, services, and physical infrastructure, the Senior GPU Capacity and Optimization Planner manages the day-to-day allocation and strategic bin-packing of the Crusoe Cloud high-performance GPU fleet. This cross-functional position bridges technical infrastructure and the Go-To-Market engine, partnering with Sales, Customer Success, and Fleet Management to maximize resource utilization, eliminate fragmentation, and ensure seamless performance for AI and machine learning customers.

Key Responsibilities

Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within data centers, minimizing fragmentation and maximizing cluster utilization.
Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering by reviewing pipeline demands and mapping them to physical hardware constraints.
Collaborate closely with Fleet Management, Infrastructure Engineering, and Data Center Operations to ensure maximum uptime for customer workloads.
Design and implement models tracking real-time GPU cluster headroom, workload densities, and allocation velocities to prevent supply bottlenecks.
Synthesize commercial demand signals and large-scale AI training and inference architectural trends to inform hardware placement and scheduling.
Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools.

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, such as AWS, GCP, Azure, or Oracle Cloud, or a specialized large-scale AI accelerated compute cloud fabric.
Solid foundational understanding of GPU topologies, including NVIDIA H100 and B200 ecosystems.
Proven ability to communicate complex infrastructure and physical layout constraints to business stakeholders 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.

Nice to Have

Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics.
Passion for green energy and aligning massive computing scales with environmental sustainability initiatives.

Skills and Tools

AWS
GCP
Azure
GPU topologies (NVIDIA H100/B200)
Distributed AI training frameworks
Infrastructure capacity planning and systems engineering tools

Salary and Benefits

Competitive annual compensation ranging from $160,000 to $195,000 plus bonus
Restricted Stock Units included in all offers
Comprehensive health, dental, and vision insurance with employer HSA contributions
Paid time off, paid holidays, and leave of absence programs including paid parental leave
Paid life insurance, short-term disability, and long-term disability
401(k) retirement plan with company match up to 4% of salary
Professional development, tuition reimbursement, and mental health and wellness support
Commuter benefits, cell phone stipend, daily meals allowance, and volunteer time off

About the Company

Crusoe is a vertically integrated AI infrastructure company built from the ground up to own and operate each layer of the stack, from electrons to tokens, powering the world's most ambitious AI workloads. The organization approaches AI infrastructure with an energy-first mindset that prioritizes environmental sustainability while accelerating the future of intelligence.

How to Apply

Interested candidates should apply directly on the official Crusoe careers page to submit their application for this position.

Skills and tech stack

AWSGCPAzure

Questions candidates ask

What is the location of the Senior GPU Capacity Planner role?

The position is based in San Francisco, California, on a full-time, non-remote basis.

What is the salary range for this position?

The annual compensation ranges from $160,000 to $195,000 plus a bonus and Restricted Stock Units.

How many years of experience are required?

Candidates must have 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering.

What cloud environments are relevant for this role?

Experience working within a hyperscaler cloud environment such as AWS, GCP, Azure, Oracle Cloud, or a specialized large-scale AI accelerated compute cloud fabric is required.

What educational background is expected?

Applicants should hold a Bachelor’s or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field.

Ready to apply?

The application is on the official Crusoe careers page.

Apply on company site