Senior Hardware Infrastructure Capacity Planner

What You'll Be Working On

Hardware Lifecycle & Supply Planning

• Build, execute, and scale hardware allocation models, mapping long-range customer capacity requirements to physical server, rack, and component procurement cycles

Supply Chain & Lead-Time Integration

• Partner deeply with Global Supply Chain and Procurement to track vendor lead times, manage manufacturing horizons, and preemptively mitigate component shortage risks

Data Center Execution Planning

• Collaborate with Data Center Engineering and Field Operations to align physical rack delivery schedules, power allocations, and network availability constraints with upcoming customer deployments

BOM & Component Sourcing Forecasts

• Translate high-level compute and storage demands into discrete, actionable Component-level Bill of Materials forecasts (CPUs, GPUs, memory, storage fabrics, and custom networking silicons)

Utilization & Inventory Modeling

• Develop data-driven models to optimize buffer stock levels, monitor work-in-progress (WIP) deployments, and track total equipment capitalization metrics across the entire fleet

Cross-Functional Optimization

• Review ongoing hardware pipeline variances with Finance, Product Management, and Engineering to continuously tune capital expenditures (CapEx) against utilization targets

What You'll Bring to the Team

• 3+ years of experience in Infrastructure Supply Planning, Hardware Planning, Global Supply Chain, or Operations Engineering within a massive scale technical network environment
• Direct experience navigating the supply chains, hardware lifecycle stages, or procurement dynamics of a public cloud hyperscaler or large-scale high-performance computing network
• Solid foundational understanding of modern server system architectures, enterprise hardware components (compute, memory, storage topologies), and typical data center power/space variables
• Advanced proficiency in building forecasting sheets, predictive inventory models, or mathematical optimization models to parse hardware lead times and deployment risks
• Proven ability to distill complex engineering designs into clear supply requirements for vendors and procurement partners, and vice versa
• Bachelor’s or Master's degree in Industrial Engineering, Supply Chain Operations, Operations Research, Management Science, Computer Engineering, or an equivalent quantitative discipline

Bonus Points

• Direct experience managing supply constraints and vendor pipelines specifically for high-performance AI infrastructure (e.g., NVIDIA accelerated platforms and specialized networking frameworks)
• Experience defining, building, or implementing custom Enterprise Resource Planning (ERP) integrations or automated hardware asset management software workflows
• A strong passion for clean energy, data center power grid optimizations, and driving structural sustainability in the tech sector

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.