crusoe - Senior GPU Capacity Planner
Requirements
• 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. • 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 • 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 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.
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