--- title: 'Senior GPU Capacity Planner at Crusoe' canonical: 'https://feeny.ai/job/senior-gpu-capacity-planner-crusoe-san-francisco-fhjeypw71saz' type: 'job' last_seen: '2026-11-06' --- # Senior GPU Capacity Planner at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Compensation:** $160k–$195k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-25 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/Crusoe/a6ac4ffb-36ea-4dd1-afd7-3e6eb825c653/application **Skills:** Infrastructure Capacity Planning, Technical Product Management, Systems Engineering, Machine-level resource scaling, Hyperscaler cloud environments, AWS, GCP, Azure, Oracle Cloud, GPU topologies, NVIDIA H100, NVIDIA B200, Bin-packing optimization, Demand forecasting, Automation, Distributed AI training frameworks, Multi-tenant cloud storage dynamics > The Senior GPU Capacity Planner manages the allocation and strategic bin-packing optimization of Crusoe Cloud’s high-performance GPU fleet. This role bridges technical infrastructure and Go-To-Market teams to maximize resource utilization, eliminate fragmentation, and ensure seamless performance for AI/ML customers. ## Job description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ## About the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud’s high-performance GPU fleet. This is a highly cross-functional, high-impact role that bridges the gap between our technical infrastructure and our Go-To-Market (GTM) engine. You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to translate commercial customer pipelines into requirements within the datacenter. Your mission will be to maximize resource utilization, eliminate fragmentation across accelerated computing clusters, and ensure our AI/ML customers receive seamless performance, directly supporting Crusoe’s mission to align the future of computing with environmental sustainability. ## What You'll Be Working On - 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. - Automation Requirements: Partner with Core Software Engineering to translate manual allocation processes into scalable, automated programmatic scheduling and visualization tools. ## What You'll Bring to the Team - Proven Capacity & Scheduling Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Technical Product Management, or Systems Engineering with heavy exposure to machine-level resource scaling. - Hyperscaler Experience: Experience working within a hyperscaler cloud environment (e.g., AWS, GCP, Azure, Oracle Cloud) or a specialized, large-scale AI/accelerated compute cloud fabric. - GPU & Accelerated Compute Knowledge: Solid foundational understanding of GPU topologies (e.g., NVIDIA H100/B200 ecosystems). - Strong Cross-Functional Navigation: 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. - Education: Bachelor’s or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field. Bonus Points - Deep technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics. - A passion for green energy and aligning massive computing scales with environmental sustainability initiatives. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location ## Compensation Range Compensation will be paid in the range of up to $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. ## About Crusoe ## Company Overview - **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads. - **Entity Type**: Private (Series E) - **Headquarters**: Denver, Colorado, USA - **Founded**: 2018 - **Founders**: Chase Lochmiller and Cully Cavness ## Core Business - Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy - Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B) - **Mission**: "Accelerate the abundance of energy and intelligence." ## Products & Services - **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%. - **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management. - **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads. - **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers. - **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M). - **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers. - **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office. ## Competitive Advantages - **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy. - **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform. - **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure. - **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction). ## Strategic Focus - **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe. - **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure. - **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report. - **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack. ## Why Work Here - **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey). - **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader. - **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact. - **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel). - **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks. - **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process. ## Sources 1. [crusoe.ai](https://www.crusoe.ai/) 2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers) 3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture) 4. 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