Sr Engineering Program Manager, AI/ML

Apple•Cupertino, CA

About The Position

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. The 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. We 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. If 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!

Requirements

5–10+ years of program management experience in software, hardware, or systems engineering environments.
Strong technical acumen and the ability to align teams around architecture, milestones, and execution plans.
Exceptional communication, collaboration, and leadership skills.
Prior PM or engineering experience in AI/ML model training, high-performance distributed computing, or inference optimization technologies
Experience with silicon acceleration and compute frameworks
Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure

Nice To Haves

BS/MS (EE/CS/CE), or a related technical field.
Background in CPU, GPU (Graphics HW, Graphics APIs like Metal) or exposure to Display technologies(eg: Color, HDR,..) experience is a strong plus
Experience with distributed systems, cloud infrastructure, and ML frameworks
Experience leading multi-functional teams to develop and deploy GPU-accelerated AI/ML solutions across Apple’s product ecosystem.
Experience driving graphics/compute API and software/hardware feature development lifecycles from concept through launch, ensuring timely and high-quality delivery.

Responsibilities

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.
Help define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads.
Build and maintain complex software platforms, tools, and processes that deliver new end-to-end experiences on-device.
Partner with teams across Apple and deliver some of the most ambitious capabilities for executing AI/ML features on scalable distributed systems.
Ensure reliability, scalability, and efficiency of ML pipelines and services.

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