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

Apple is where individual imaginations gather together committing 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 others 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. Its 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 youll do more than join something youll add ASE - AI Infrastructure team at Apple is building the next generation of Machine Learning models and we are looking for people like you to come build Apple Intelligence with us! The AI Infrastructure EPM team is seeking a Senior Engineering Program Manager for its ML Compute Platform. This platform provides services to all internal Apple developers. Its focus is providing efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment of features across the entire Apple consumer ecosystem. n

Were 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 Apples 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!

As EPM of the AIML team you will be responsible for establishing cross-functional partnerships with all of Apples ML stakeholders; understanding their use cases and improving the ease of use for the compute will collaborate with the Apples AIML engineering teams to define a partnership strategy across the entire ML ecosystem. This partnership includes 3rd party public cloud Apples internal cloud silicon vendors and OSS providers to enable Apple and execute capacity forecasting models to ensure optimal compute resource availability for current and future ML and track ML compute usage to identify opportunities for cost savings without compromising performance. nPropose and implement cost-optimization regular reports to senior leadership on ML compute capacity performance trends and cost management efforts. nCommunicate complex technical concepts to non-technical 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 the product requirements to technical use cases helping to see around corners enabling risk mitigation for engineering execution through creating partnership roadmap for will define new computing modalities using resources native to the cloud and take that vision to market in collaboration with internal and external stakeholders.

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 networkingnExperience 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 technologiesnProficiency in multitasking and leading sophisticated programs with cross functional teams with a track record in developing and bringing outstanding platforms to marketnMS/PhD in EE CS Math or Physics or equivalent work experiencen

5 years of work experience in Product/Program and/or solutions architecture or developer rolenStrong desire to learn aptitude for problem solving and the ability to make sophisticated trade-offsnSelf-motivated independent and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage prioritize and lead cross-functional teams under pressurenHighly developed drive to improve how things work with a proven track record of driving dramatic improvements for team quality performance agility or effectivenessnDemonstrated ability to define product vision strategy and roadmap along with the ability to deliver and executenExperience driving technical partnerships with internal and external cloud/software stakeholdersnKnowledge of computer systems and cloud infrastructure architecturenFamiliarity with AI frameworks (e.g. Tensorflow Pytorch or MxNet) and/or GPU development experiencenExcellent interpersonal skills including ability to explain sophisticated technical topics to non-experts