Sr Engineering Program Manager, Ai/ml

Apple Apple · Big Tech · Cupertino, CA · Software and Services

Technical Program Manager to help shape the future of scalable machine learning infrastructure. 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. Define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads.

What you'd actually do

  1. 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.
  2. Help define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components that support large-scale ML workloads.
  3. 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.
  4. Drive graphics/compute API and software/hardware feature development lifecycles from concept through launch, ensuring timely and high-quality delivery.

Skills

Required

  • program management experience in software, hardware, or systems engineering environments
  • technical acumen
  • communication skills
  • collaboration skills
  • leadership skills
  • AI/ML model training
  • high-performance distributed computing
  • inference optimization technologies
  • silicon acceleration
  • compute frameworks
  • Self-motivated
  • independent
  • proactive
  • creative and critical thinking capabilities
  • triage, prioritize, and lead cross-functional teams under pressure

Nice to have

  • BS/MS (EE/CS/CE), or a related technical field
  • CPU, GPU (Graphics HW, Graphics APIs like Metal) or exposure to Display technologies(eg: Color, HDR,..)
  • distributed systems
  • cloud infrastructure
  • ML frameworks
  • graphics/compute API and software/hardware feature development lifecycles

What the JD emphasized

  • proven record of building and maintaining complex software platforms, tools, and processes
  • strong technical acumen and the ability to align teams around architecture, milestones, and execution plans
  • Prior PM or engineering experience in AI/ML model training, high-performance distributed computing, or inference optimization technologies
  • Experience leading multi-functional teams to develop and deploy GPU-accelerated AI/ML solutions across Apple’s product ecosystem.

Other signals

  • leading planning, execution, and cross-functional coordination
  • deliver robust, high-performance ML systems
  • define and run processes that ensure the timely delivery of GPU, compute, and data infrastructure components
  • support large-scale ML workloads
  • building and maintaining complex software platforms, tools, and processes
  • deliver new end-to-end experiences on-device
  • delivering some of the most ambitious capabilities for executing AI/ML features on scalable distributed systems
  • ensuring reliability, scalability, and efficiency of ML pipelines and services
  • strong technical acumen and the ability to align teams around architecture, milestones, and execution plans
  • 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
  • Experience leading multi-functional teams to develop and deploy GPU-accelerated AI/ML solutions across Apple’s product ecosystem.