AIML - Sr Engineering Program Manager, ML Compute
Company : Apple
Location : Cupertino, CA, 95014
Posted Date : 8 November 2025
Job Type : Other
Category : Project Management
Occupation : Program Manager
Job Details
Cupertino, California, United States Machine Learning and AI
Responsibilities
- As a key EPM of the AIML team, you will be responsible for establishing cross-functional partnerships with ML stakeholders, understanding their use cases and improve the ease of use of the compute services.
- You will lead supply/demand management along with finance operations for ML Compute accelerators.
- You will collaborate with Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem including 3rd party public cloud, Apple’s internal cloud, silicon vendors, and OSS providers.
- You will lead technical evaluations of emerging accelerator technologies (GPUs, TPUs, and custom silicon), balancing power, performance, cost, and compatibility to ensure infrastructure decisions are forward-looking and cost-efficient.
- Own cross-functional execution of capacity integration efforts — aligning hardware procurement, rack deployment, networking, and software readiness to ensure seamless delivery at scale.
- Translate ML platform and model training requirements into concrete infrastructure programs, ensuring technical risks are anticipated and mitigated early.
Minimum Qualifications
- 6+ years of Product and/or technical program management experience covering as many of the following areas as possible: Data center infrastructure, on-prem compute platforms, GPU/TPU or custom accelerator evaluation, price-performance modeling, capacity planning and integration, container stack, and networking.
- Experience with supply demand and finance ops management related to ML Compute accelerators.
- Proven track record driving programs that involve evaluating and onboarding new accelerator technologies and integrating them into large-scale ML training platforms.
- Strong analytical skills in conducting cost-performance trade-off analysis and ensuring hardware/software optimization for ML workloads.
- Proficiency in multitasking and leading sophisticated programs with a track record in bringing highly technical infrastructure to production.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.
- Outstanding interpersonal skills, including the ability to influence hardware vendors, public cloud providers, and internal engineering teams.
- Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade-offs.
Preferred Qualifications
- MBA/MS in EE, CS, Systems Engineering or equivalent
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 .
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