Capacity Planning Data Engineer for AI Infrastructure

Apple Inc.; Seattle, Northern (WA, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Employee stock programs

Relocation assistance

Comprehensive benefits

Job summary

Apple Inc. is seeking a Data Scientist focused on Capacity Planning to build data pipelines, models, and tools that analyze infrastructure demand, utilization, capacity, and cost. You will address GPU/TPU/CPU/storage workloads, forecast needs, and provide actionable insights to engineering, Finance, and Procurement.

The role emphasizes collaboration across Apple’s data platforms and business teams. You will develop trusted data foundations, reconcile outputs to actuals, and automate forecasting

Qualifications

• 3+ years of experience in Data Engineering, Analytics Engineering, Infrastructure Analytics, or a related field.
• Strong SQL skills and experience working with large datasets.
• Experience with Python or another language used for data processing and automation.
• Experience building data pipelines, data models, and analytical datasets.
• Understanding of ETL/ELT patterns, data quality, and pipeline reliability.
• Experience working with cloud billing and usage data from AWS, GCP or Azure
• Proven ability to build data models that reconcile to a financial source of truth
• Understanding of AI and ML inference workloads and how model serving drives compute cost
• Strong analytical and problem-solving skills.
• Ability to work effectively with both technical and non-technical partners.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Economics, Finance, or a related quantitative field, or equivalent practical experience.

Responsibilities

• Build and maintain data pipelines for infrastructure capacity, utilization, performance, and cost data.
• Develop trusted data models for GPU, TPU, CPU, storage, and other infrastructure resources.
• Build cost models that calculate unit economics such as cost per GPU hour, cost per job, and cost per 1M tokens using measured production utilization.
• Integrate workload demand, utilization telemetry, capacity commitments, and financial data into a common planning framework.
• Reconcile model outputs to actuals and implement data-quality controls for missing tags, anomalies, and duplicate records.
• Build forecasting and scenario-analysis tools that help leaders evaluate capacity, utilization, and pricing decisions before committing spend.
• Identify optimization opportunities such as idle reserved capacity, underutilized clusters, and inefficient workloads, and quantify the associated savings.
• Automate recurring capacity-planning, forecasting, and reporting workflows.
• Partner with engineering teams to understand workload growth, migrations, SLOs, and architecture changes that affect capacity needs.
• Work with CIBO, Finance, and Procurement to support cloud commitments, infrastructure investment decisions, and long-range capacity planning.
• Communicate insights, risks, and recommendations clearly to technical and business stakeholders.

Skills

SQL

Python

Data pipelines

Data modeling

ETL/ELT

Cloud billing data

Cloud platforms

AI/ML inference

Analytical thinking

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or related quantitative field

Tools

Spark

Trino

Airflow

Kafka

Tableau

Job description

Apple Inc. is seeking a Data Scientist focused on Capacity Planning to build data pipelines, models, and tools that analyze infrastructure demand, utilization, capacity, and cost. You will address GPU/TPU/CPU/storage workloads, forecast needs, and provide actionable insights to engineering, Finance, and Procurement.

The role emphasizes collaboration across Apple’s data platforms and business teams. You will develop trusted data foundations, reconcile outputs to actuals, and automate forecasting