Manager, ASE Efficiency

Apple • Culver City, CA

1d

About The Position

The Manager, ASE Efficiency will help improve the efficiency of Apple’s cloud services through analysis of infrastructure usage patterns and data-driven capacity planning. The role connects application and business demand to infrastructure requirements, then uses measured utilization to improve forecasting and optimization decisions while supporting scalability and reliability and minimizing resource waste.

The team focuses on machine-learning-driven forecasting, capacity planning, resource optimization, and cost-model development across Apple Services Engineering’s large-scale services. The role works at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization, collaborating with cross-functional experts to advance efficiency across Apple’s cloud infrastructure.

Requirements

• 7+ years of relevant experience in large-scale cloud services or similar environments.
• 2+ years of engineering management experience.
• Strong software engineering background.
• Experience with machine-learning-based modeling, time-series forecasting, and data-driven decision-making for cloud services.
• Exceptional analytical and problem-solving skills.
• Ability to communicate complex ideas clearly and effectively to cross-functional teams.
• Hands-on experience with platform observability tools and service performance analysis.
• Experience developing cost models and strategies for software services.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

• Experience applying classical optimization techniques to real-world systems or infrastructure problems.
• Demonstrable experience in capacity planning and resource optimization using machine learning and/or optimization techniques.
• Knowledge of machine learning pipelines and service monitoring tools.
• PhD in Computer Science or a related field, focused on machine learning, optimization, or large-scale distributed systems.

Responsibilities

• Analyze infrastructure usage patterns.
• Conduct data-driven capacity planning to support scalability and reliability while minimizing resource waste.
• Connect application and business demand to infrastructure requirements.
• Use measured utilization to improve forecasting and optimization decisions.
• Develop cost models and strategies for software services to support efficient resource utilization and cost-effectiveness.
• Collaborate with cross-functional teams and communicate complex ideas clearly.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager