Mgr, Engineering Program Management, AI Platforms & Infrastructure

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? The Apple Services Engineering org is building groundbreaking technology... and we are looking for people like you! Apple offers a collaborative work environment that fosters creativity and innovation. Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences.
We are looking for an experienced Engineering Program Manager (EPM) Manager to lead strategy, execution, and delivery across our AI/ML platform and infrastructure programs. In this role, you will drive cross-functional initiatives spanning Apple’s massive-scale GPU/TPU compute infrastructure, Foundation Model inference platforms, and hybrid-cloud AI systems. You will partner closely with engineering and operations leaders to translate complex technical requirements into actionable roadmaps. Crucially, you will be responsible for growing and scaling a high-performing EPM team to meet the rapidly expanding demands of Apple's generative AI and machine learning platforms.
<h3>Minimum Qualifications</h3>10+ years of experience in product or program management, with at least 3+ years in a people management or lead EPM role.
Proven experience building and scaling teams, with the organizational savvy to expand team scope and influence across a highly matrixed environment.
Extensive experience managing strategic relationships with top-tier cloud vendors and external partners, including infrastructure planning, contract alignment, and SLA enforcement.
Strong strategic thinking with the ability to balance long-term platform roadmap priorities against near-term inference and training execution demands.
Track record of delivering massive-scale cost optimization and operational efficiency programs in hybrid-cloud environments.
Excellent communication and stakeholder management skills — able to translate complex technical infrastructure concepts for both deep engineering teams and executive audiences.
Experience in multi-tenant, high-performance compute environments running large-scale Foundation Models or similar ML workloads.
BS/MS in EE/CS/CE or equivalent
<h3>Preferred Qualifications</h3>Deep technical background in AI/ML infrastructure, cloud operations, or distributed compute platforms, with direct experience in GPU/TPU capacity management and provisioning.
Familiarity with large-scale distributed training frameworks (e.g., PyTorch, Megatron-LM, JAX) and their infrastructure implications at scale.
Familiarity with FinOps practices in large-scale GPU/TPU environments.
Experience navigating large-scale organizational change and team restructuring.