Sr. Engineering Program Manager, ML Compute Infrastructure, Apple Services Engineering

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 312,000; Full time

Job summary

Apple Inc. is seeking a Senior PM to build and lead large-scale ML infrastructure. You will partner with engineering teams to drive the compute roadmap, improve engineering efficiencies, reduce costs, and ensure resiliency for Apple’s ML use cases in public and internal clouds.

You will establish cross-functional partnerships, shape the strategy across ML ecosystems, forecast capacity, analyze usage for savings, and report to senior leadership on trends and outcomes.

Qualifications

• 3+ years of product/technical program management in large-scale cloud infrastructure or ML systems.
• Experience with GPU/TPU usage for ML training and inference.
• Ability to lead cross-functional teams and translate product requirements into technical use cases.

Responsibilities

• Establish cross-functional partnerships with Apple’s ML stakeholders and define the compute services roadmap.
• Collaborate with AIML engineering to plan partnerships across public cloud, internal cloud, silicon vendors and OSS providers.
• Develop capacity forecasting models and monitor ML compute usage for cost optimization and performance.

Skills

distrib ut ed computing

Education

MS/PhD in EE, CS, Math or Physics

Tools

TensorFlow

PyTorch

MxNet

Job description

Cupertino, California, United States Software and Services

Apple is where individual imaginations gather together, committed to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Description

We’re looking for someone with passion in this space and experience building large-scale infrastructure for cloud platforms, with a strong knowledge of ML workflow. You will partner with engineering teams and other product/program managers across the org to drive and influence our compute roadmap for improving engineering efficiencies, reducing cost, and ensuring resiliency for Apple's ML use cases. You will also have the opportunity to be a leader with vision, identifying new technologies for adoption and be the central PM voice for interactions with public cloud providers, such as AWS and GCP, as well as internal Apple Cloud. Come, join us and build the new frontier technologies that support Apple Intelligence!

Responsibilities

• As EPM of the AIML team, you will be responsible for establishing cross‑functional partnerships with all of Apple’s ML stakeholders; understanding their use cases and improving the ease of use for the compute services.
• You will collaborate with the Apple’s AIML engineering teams to define a partnership strategy across the entire ML ecosystem. This partnership includes 3rd‑party public cloud, Apple’s internal cloud, silicon vendors, and OSS providers, to enable Apple Intelligence.
• Develop and execute capacity forecasting models to ensure optimal compute resource availability for current and future ML workloads.
• Analyze and track ML compute usage to identify opportunities for cost savings without compromising performance.
• Propose and implement cost‑optimization strategies.
• Provide regular reports to senior leadership on ML compute capacity, performance trends, and cost management efforts.
• Communicate complex technical concepts to non‑technical stakeholders.
• We work with best‑in‑class engineering teams and developers across Apple to design the most efficient technologies to accelerate the ML lifecycle. You will be the trusted advisor to our customers to deeply understand their needs and help deliver low cost, high performance solutions that meet their use cases and business outcomes.
• Translate the product requirements to technical use cases helping to see around corners, enabling risk mitigation for engineering execution through creating partnership roadmap for delivery.
• You will define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external stakeholders.

Minimum Qualifications

• 3+ years of product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large‑scale cloud infrastructure, GPU/TPU usage for ML training, software and computing architectures, container stack, and networking.
• Experience in working with large‑scale GPU‑based AI applications, like natural language processing and recommendation, for training and inference or direct experience in building or managing cloud computing infrastructure and technologies.
• Proficiency in multitasking and leading sophisticated programs with cross‑functional teams, with a track record in developing and bringing outstanding platforms to market.
• MS/PhD in EE, CS, Math, or Physics or equivalent work experience.

Preferred Qualifications

• 5+ years of work experience in product/program and/or solutions architecture or developer role.
• Strong desire to learn, aptitude for problem‑solving, and the ability to make sophisticated trade‑offs.
• Self‑motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross‑functional teams under pressure.
• Highly developed drive to improve how things work, with a proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
• Demonstrated ability to define product vision, strategy, and roadmap along with the ability to deliver and execute.
• Experience driving technical partnerships with internal and external cloud/software stakeholders.
• Knowledge of computer systems and cloud infrastructure architecture.
• Familiarity with AI frameworks (e.g. Tensorflow, Pytorch or MxNet) and/or GPU development experience.
• Excellent interpersonal skills including ability to explain sophisticated technical topics to non‑experts.

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 $175,500 and $311,700, 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.

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