Senior GPU Capacity Planner

What You'll Be Working On

GPU Fleet Bin-Packing & Optimization

• Develop and execute advanced bin-packing strategies to optimize GPU resource allocations within data centers
• Minimize fragmentation and maximize cluster utilization

GTM & Pipeline Alignment

• Act as the primary technical capacity partner to Sales, Customer Success, and Solutions Engineering
• Review upcoming pipeline demands and map them to physical hardware constraints

Cross-Functional Capacity Execution

• Collaborate tightly with Fleet Management, Infrastructure Engineering, and Data Center Operations
• Ensure maximum uptime of customer workloads

Utilization Modeling & Metrics

• Design and implement models to track real-time GPU cluster headroom, workload densities, and allocation velocities
• Prevent supply bottlenecks

Strategic Demand Forecasting

• Synthesize commercial demand signals and large-scale AI training/inference architectural trends
• 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

• 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
• Translate 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

Bonus Points

• 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

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: $160,000 - $195,000 + Bonus. Restricted Stock Units are included in all offers.