Apple Inc.
Seattle, Washington, 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 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 $163,300 and $290,100, 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 .
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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 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 $163,300 and $290,100, 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 .
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