Sr. Engineering Program Manager, ML Compute Infrastructure, Apple Services Engineering

What you'll do

• Establish cross-functional partnerships to understand ML stakeholders' use cases and improve compute service ease of use.
• Develop capacity forecasting models to ensure optimal resource availability for current and future ML workloads.
• Analyze ML compute usage to identify cost-saving opportunities without compromising performance.
• Provide regular reports on ML compute capacity, trends, and cost management to senior leadership.
• Define partnership strategies with public cloud providers and internal Apple Cloud to enable efficient ML solutions.
• Translate product requirements into technical use cases for risk mitigation in engineering execution.
• Define new computing modalities using native cloud resources and collaborate with stakeholders to take them to market.

What we're looking for

• 3+ years of product and technical program management in distributed computing, large-scale cloud infrastructure, and ML training.
• Experience with large-scale GPU-based AI applications for training and inference or managing cloud computing technologies.
• Proficiency in multitasking and leading cross-functional teams to develop and launch successful platforms.
• MS/PhD in EE, CS, Math, Physics or equivalent work experience.
• Ability to define product vision, strategy, and roadmap while delivering and executing effectively.
• Experience driving technical partnerships with internal and external cloud stakeholders.
• Knowledge of AI frameworks (TensorFlow, PyTorch) and GPU development.