Sr Engineering Program Manager, AI/ML

At Apple, we believe excellent ideas have a way of becoming extraordinary products with unique customer experiences at the highest quality. When you bring passion and dedication to your job, there's no telling what you could accomplish! The people here at Apple don't just build products - they craft the kind of wonder that's revolutionized entire industries.\\n\\nThe Graphics, Gaming & Machine Learning (GGML) team is seeking a Technical Program Manager to help shape the future of scalable machine learning infrastructure. In this role, you'll lead planning, execution, and cross-functional coordination across engineering teams to deliver robust, high-performance ML systems that operate across Apple's cloud and distributed environments. You'll help define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads.\\nWe are looking for an energetic and motivated individual with strong communication, organizational, and technical skills who thrives in a fast-paced, dynamic environment.

We're looking for a strong Engineering Program Manager with a proven record of building and maintaining complex software platforms, tools, and processes that deliver new end-to-end experiences on-device. You will partner with teams across Apple and deliver some of the most ambitious capabilities for executing AI/ML features on scalable distributed systems, and ensuring reliability, scalability, and efficiency of ML pipelines and services. \n\nIf you are the type of person that feels a personal stake in everything that you work on, have a strong sense of ownership, thrive in fast-paced environments with lots of ambiguity, enjoy working with complex technologies, know how to foster strong relationships, build trust, and work for the success for the entire team, then you will be a strong match for our team. We want to talk to you!

5+ years in a role leading cross-functional teams in product/project/program development\nProven track record of delivering large-scale engineering products or platforms involving machine learning, including experience with model training and optimization, distributed server side inference, and/or user-facing applications that use those services and deliver measurable business or product value.\nExperience with distributed systems, cloud infrastructure, and ML frameworks.\nExperience leading multi-functional teams to develop and deploy GPU-accelerated AI/ML solutions across Apple's product ecosystem.\nExperience driving graphics/compute API and software/hardware feature development lifecycles from concept through launch, ensuring timely and high-quality delivery.\nFamiliarity with ML lifecycle from experimentation to production.\nTrack and report program status, including risks, timelines, resource needs, and cross-functional dependencies.\nDrive resolution of technical risks and challenges, working in close partnership with engineering leads.\nChampion innovation and execution excellence, setting strategic direction for GPU-accelerated AI/ML initiatives at Apple.\nSelf-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure.\nEffective and clear communication and presentation skills, written and verbal

BS/MS (EE/CS/CE), or a related technical field.\nBackground in CPU, GPU (Graphics HW, Graphics APIs like Metal) or exposure to Display technologies(eg: Color, HDR,..) experience is a strong plus\nExperience driving graphics/compute API and software/hardware feature development lifecycles from concept through launch, ensuring timely and high-quality delivery.\nPrior PM or engineering experience in AI/ML model training, high-performance distributed computing, or inference optimization technologies\nExperience with silicon acceleration and compute frameworks