Manager, Cloud Infrastructure Demand & Capacity Planning

We're looking for a strategic leader with deep expertise in capacity planning, demand forecasting, and infrastructure optimization for large-scale ML compute environments. In this role, you will build and lead a team of capacity planners responsible for ensuring Apple's ML and Gen AI infrastructure meets current and future demand. This includes developing long-range capacity models, driving accelerator hardware strategy, managing supply/demand balance, and partnering with finance on investment planning. You will serve as the central capacity planning voice for interactions with public cloud providers and internal Apple Cloud team's. Ensuring Apple has the right compute resources, in the right place, at the right time, and at the right cost.

Description

The Cloud Infrastructure Business Operations (CIBO) team is a centralized organization responsible for demand planning of infrastructure resources across Apple. We are seeking a Manager of ML Compute Capacity Planning to lead capacity planning efforts for Apple's ML Training and Gen AI platforms. These platforms provide services to all internal Apple developers, delivering efficient and scalable compute and processing for the machine learning lifecycle, from model experimentation to deployment, across the entire Apple consumer ecosystem.

We're looking for a strategic leader with deep expertise in capacity planning, demand forecasting, and infrastructure optimization for large-scale ML compute environments. In this role, you will build and lead a team of capacity planners responsible for ensuring Apple's ML and Gen AI infrastructure meets current and future demand. This includes developing long-range capacity models, driving accelerator hardware strategy, managing supply/demand balance, and partnering with finance on investment planning. You will serve as the central capacity planning voice for interactions with public cloud providers and internal Apple Cloud team's. Ensuring Apple has the right compute resources, in the right place, at the right time, and at the right cost.","responsibilities":"Team Leadership & Development:

Build, mentor, and lead a high-performing team of capacity planners focused on ML and Gen AI compute infrastructure

Establish team vision, goals, and operating rhythms that drive accountability and continuous improvement

Foster a culture of analytical rigor, proactive planning, and cross-functional collaboration

Develop talent through coaching, career development, and succession planning

Capacity Planning & Demand Forecasting:

Own the end-to-end capacity planning function for Generalized ML Training and Gen AI compute accelerators.

Develop and maintain sophisticated demand forecasting models that translate ML and Gen AI workload growth projections into infrastructure requirements

Establish capacity planning processes, tools, and dashboards that provide visibility into current utilization, future demand, and capacity gaps

Lead monthly, quarterly and annual capacity planning cycles, delivering actionable recommendations to senior leadership

Supply/Demand Management:

Drive supply/demand balance for ML and Gen AI compute Platforms, ensuring optimal resource allocation and utilization

Establish and monitor key capacity metrics (utilization, efficiency, cost-per-workload) to inform strategic decisions

Infrastructure Strategy & Technology Evaluation:

Lead technical and economic evaluations of emerging accelerator technologies (GPUs, TPUs, custom silicon), balancing power, performance, cost, and compatibility

Develop price/performance models that inform hardware selection and capacity investment decisions

Define partnership strategy across the ML and Gen AI ecosystem including public cloud providers, internal Apple Cloud, silicon vendors, and infrastructure partners

Identify and advocate for new technologies and approaches that improve capacity efficiency and cost-effectiveness

Cross-Functional Partnership & Execution:

Establish strategic partnerships with Line of Business (LOB's) engineering teams and stakeholders to understand workload requirements, growth trajectories, and service level expectations

Align capacity plans with hardware procurement, data center expansion, networking, and software readiness teams

Translate Generalized ML Training and Gen AI platform requirements into concrete capacity plans, ensuring infrastructure readiness at scale

Anticipate and mitigate capacity risks through proactive scenario planning and contingency development

Preferred Qualifications

MBA or MS in Engineering, CS, Systems Engineering, Supply Chain, or related field

10 or more years of experience with 5 or more years in management roles

Experience leading capacity planning for ML/AI and Gen AI infrastructure at hyperscale

Minimum Qualifications

8+ years of experience in capacity planning, infrastructure strategy, or technical operations, with at least 3+ years in a people management role

Deep expertise in capacity planning methodologies, demand forecasting, and resource optimization for large-scale compute environments

Experience with ML and Gen AI compute infrastructure including GPU/TPU accelerators, data center operations, and cloud platforms

Proven track record in supply/demand management and financial operations related to infrastructure investments

Strong analytical skills with proficiency in capacity modeling, cost-performance trade-off analysis, and scenario planning

Experience evaluating and onboarding new accelerator technologies into production environments

Demonstrated ability to build, develop, and inspire high-performing teams

Outstanding interpersonal and communication skills, with the ability to influence hardware vendors, cloud providers, finance partners, and senior engineering leadership

Strategic mindset with the ability to balance long-term planning with near-term execution

BS in Engineering, CS, Systems Engineering, Supply Chain or equivalent work experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $176,600 and $313,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Client-provided location(s): Cupertino, CA

Job ID: apple-200645189-0836_rxr-661

Employment Type: OTHER

Posted: 2026-02-07T19:11:58