Senior Engineering Program Manager, ASE Central Quality – Private Cloud Compute

The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation running through everything we do. Do you believe generative AI has the power to change how we live work and interact and that privacy and security must never be sacrificed in that pursuit Do you thrive in fast-paced ambiguous environments and enjoy working across complex high-stakes technical systemsnThe Central Quality Engineering Program Manager for Private Cloud Compute (PCC) drives the quality backbone of one of Apples most technically ambitious infrastructure efforts the systems powering Apple Intelligence. This role sits at the intersection of software engineering Quality SRE and ML/inference release engineering driving the test strategy QA sign-off process and readiness required to ship PCC with the quality and trust Apples customers expect. Youll move fluidly between deep technical detail build pipelines staged rollouts distributed systems and executive-level communication building relationships across an organization where the teams you depend on are spread throughout the company.

In this role youll work closely with Engineering Quality SRE and ML build/release teams to define and continuously improve how PCC software and infrastructure are validated before they reach production. This includes the build and staged-rollout pipeline for large language models running on PCC model weight updates across OS and PCC release trains and the datacenter/Apple Silicon platform validation that underpins the service. You will drive cross-functional programs across teams of highly skilled engineers and program managers providing direction fostering collaboration and holding the bar for quality must be comfortable operating independently in new and unfamiliar domains quickly building competence in evolving frameworks as well as PCCs own privacy and security architecture to inform your work. Success requires breaking large ambiguous problems into manageable pieces leveraging subject-matter experts across Foundation Models AIML evals and SRE and adapting your plan as understanding evolves. Strong communication is essential to your credibility: you must synthesize complex technical issues into clear points tailor communication to different levels of seniority write clearly deliver effective presentations and run large high-stakes meetings including incident postmortems when releases dont go as planned.

Own the end-to-end Quality Engineering program lifecycle for Private Cloud Compute facilitating cross-functional coordination and breaking down complex program goals (PCC software releases LLM/model rollouts Apple Silicon datacenter integration) into manageable as the primary point of contact and strategic subject-matter expert for all things QA on assigned PCC with engineering SRE and ML build/release teams to identify critical use cases and define comprehensive End-to-End (E2E) test coverage across the PCC software model release and infrastructure and manage the QA sign-off process end-to-end for PCC releases including staged rollouts of models and software across OS and PCC release trains driving critical go/no-go decisions and ensuring production continuous status tracking and deliver clear audience-tailored reporting to stakeholders at all levels from individual engineers to senior and guide the creation of quality standards testing protocols and documentation specific to and track known risks and dependencies across hardware software and cross-org partners escalating and resolving blockers proactively including leading or supporting incident response and retrospectives for release and drive functional test strategy across core PCC components including request routing node attestation inference serving and API/service surfaces ensuring functional correctness before code and model changes progress to staging and production.

6 years of experience as a Program Manager / Technical Program Manager / QA Lead / SW Architect / SW Engineer with a track record of leading complex cross-functional software programsnOutstanding written and verbal communication and presentation skills adaptable to all levels of an organizationnExcellent stakeholder leadership skills with demonstrated ability to influence and collaborate across functions without direct authoritynStrong analytical and structured problem-solving skills able to deconstruct ambiguous complex problems resolve conflicts and lead teams to solutionsnAbility to understand technical systems and translate technical constraints into business impact and vice versanDemonstrated ability to build strong trust-based relationships across a large distributed organizationnSelf-starting self-motivated self-directed and comfortable operating with minimal oversight in ambiguous environmentsnB.S. or M.S. in Computer Science Information Systems or equivalent practical experiencenExperience partnering with SRE infrastructure or cloud/datacenter engineering teams on large-scale distributed systems

Experience validating ML or LLM workloads running on hardware accelerators (GPUs NPUs or Apple Silicon) in a cloud or datacenter environmentnFamiliarity with build/release pipelines for large-scale systems including model weight management and staged rollouts across release trainsnExperience with large-scale cloud infrastructure programs including familiarity with Kubernetes or comparable orchestration platformsnExperience owning or supporting incident response and retrospectives for production release issuesnA track record of managing company-wide cross-functional programs for privacy-critical or security-critical cloud and AI infrastructure at scale comparable in complexity to Private Cloud ComputenExperience at the hardware-software boundary in a private cloud hyperscale datacenter or edge compute environment