Apple Inc.
AIML - Sr Engineering Program Manager, ML Compute Infrastructure
Apple Inc., Seattle, Washington, us, 98127
Seattle, Washington, United States Machine Learning and AI
Description
- As a key EPM of the AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the 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 meaningful work experience as an Engineering Program Manager Demonstrated ability to define vision and lead cross-functional execution in highly technical domains Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers Strong understanding of large-scale compute architecture and capacity planning for ML workloads Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments Preferred Qualifications
Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling Experience managing data center expansion programs or deploying high-density compute for ML Strong competence in price/performance parity analysis for hardware procurement decisions Advanced technical degree and/or deep infrastructure consulting background Prior experience scaling ML infrastructure in hybrid or on-prem environments 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 AI/ML team, you will be responsible for establishing cross-functional partnerships with ML partner understanding their use cases and improve the ease of use of the compute services.- You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the 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 meaningful work experience as an Engineering Program Manager Demonstrated ability to define vision and lead cross-functional execution in highly technical domains Experience leading vendor engagements and partnerships across cloud, silicon, and hardware infrastructure providers Strong understanding of large-scale compute architecture and capacity planning for ML workloads Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), infrastructure orchestration, and high-performance computing environments Preferred Qualifications
Hands-on experience with accelerator benchmarking, evaluation frameworks, or infrastructure cost modeling Experience managing data center expansion programs or deploying high-density compute for ML Strong competence in price/performance parity analysis for hardware procurement decisions Advanced technical degree and/or deep infrastructure consulting background Prior experience scaling ML infrastructure in hybrid or on-prem environments 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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