5 дней назад
Capacity Planning & Efficiency
200 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Capacity Planning & Efficiency (AI Infrastructure): Owning the integrated planning system that converts demand, supply, infrastructure constraints, and financial commitments into a committed plan across GPUs, compute, storage, networks, power, and data center space with an accent on long-range capacity planning, IBP/S&OP, and resource allocation. Focus on reconciling constrained and unconstrained demand, navigating supply bottlenecks, translating capacity plans into capex and opex forecasts, and driving executive decisions during re-planning.
Location: On-site in San Francisco, CA; Bellevue, WA; or Sunnyvale, CA, United States
Compensation: $200,000–$240,000+ bonus, plus Restricted Stock Units
Company
builds vertically integrated AI infrastructure spanning energy, data center construction, hardware, and cloud services.
What you will do
- Own multi-year capacity planning across GPUs, accelerated AI fabrics, compute, storage, networks, power, and data center space.
- Run the integrated business planning and S&OP cycle, including demand review, supply review, reconciliation, and executive decision forums.
- Model constraints such as silicon allocation, supplier lead times, power energization, rack and network availability, and deployment labor.
- Define allocation and prioritization rules when capacity is limited and drive mitigation decisions.
- Coordinate the planning calendar and plan of record across Cloud Engineering, Supply Chain, Data Center Operations, Product, and Finance.
- Translate capacity plans into supplier commitments, capex and opex forecasts, unit economics, depreciation schedules, and utilization targets.
Requirements
- 8+ years of experience in infrastructure capacity planning, IBP/S&OP, supply and demand planning, systems engineering, or technical program management.
- Technical fluency across compute, storage, networking, accelerated computing, power, space, and cooling constraints.
- Experience with supplier lead times, allocation, buffer strategy, purchase orders, and hardware delivery.
- Strong capex and opex planning, financial modeling, and variance analysis skills.
- Expert-level Excel or Google Sheets skills and the ability to build auditable, maintainable models.
- Bachelor’s or master’s degree in a relevant technical, operations, supply chain, mathematics, or data science field.
Nice to have
- Experience establishing an S&OP or integrated business planning function from scratch.
- Experience defining planning, provisioning, or capacity modeling software requirements.
- SQL, Python, optimization, or simulation experience for constrained allocation problems.
- Experience planning GPU clusters and accelerated AI computing fabrics at scale.
Culture & Benefits
- Health, dental, and vision insurance with employer HSA contributions.
- Paid time off, holidays, parental leave, and leave of absence programs.
- 401(k) plan with company matching up to 4% of salary.
- Professional development, tuition reimbursement, and mental health support.
- Life insurance, disability coverage, commuter benefits, meals allowance, and location-specific programs.
- Competitive compensation, bonus, equity, and Restricted Stock Units.
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