Mgr, Engineering Program Management, AI Platforms & Infrastructure

Apple

Apple

Software Engineering, Other Engineering, Data Science

Santa Clara, CA, USA

USD 208,400-365,400 / year + Equity

Posted on Apr 29, 2026
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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 our Foundation Model inference platforms, Apple's massive-scale GPU/TPU compute infrastructure, 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.
  • Build, scale, and mentor a high-performing team of Engineering Program Managers, fostering a culture of ownership, accountability, and execution rigor during a period of significant organizational growth.
  • Lead strategy, roadmap planning, and end-to-end execution for large-scale AI/ML infrastructure programs, heavily focused on Foundation Model inference and training platforms.
  • Drive cross-functional alignment across engineering, product, and operations teams to deliver scalable, low-latency compute infrastructure utilizing massive GPU and TPU clusters.
  • Serve as the strategic engineering interface with tier-1 third-party cloud vendors—negotiating upfront technical constraints, capacity plans, and SLAs—while partnering seamlessly with Operations teams to ensure vendor capabilities meet our Foundation Model roadmaps.
  • Spearhead cost efficiency and operational excellence programs through smarter resource allocation, compute capacity forecasting, and global workload scheduling.
  • Collaborate with partner Operations teams to align engineering roadmaps with infrastructure execution, covering capacity forecasting, performance tuning, and disaster recovery in multi-region, hybrid cloud environments.
  • Define qualification and rollout plans for new infrastructure build-outs, ensuring reliability and performance benchmarks are met before production deployment.
  • Partner with engineering leadership to translate product requirements into long-term infrastructure strategies, optimizing for efficiency and global scale.
  • 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
  • Deep technical background in AI/ML infrastructure, cloud operations, or distributed compute platforms, with direct experience in GPU/TPU capacity management and provisioning.
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 $208,400 and $365,400, 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.

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.

Apple accepts applications to this posting on an ongoing basis.

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