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Distinguished Engineer, AI Infrastructure

Apple· Machine Learning Platform Technologies - ML Compute
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Hybrid (Cupertino, California, United States), Hybrid (Seattle, Washington, United States)$311.1k - $496.9kfull-timePosted 2w ago

About the role

Lead technical vision and architecture for next-generation AI infrastructure at Apple, spanning multi-cloud, heterogeneous compute fleets, and large-scale training/inference systems. Collaborate with ML researchers and engineers to optimize end-to-end performance and scale across accelerator platforms.

Responsibilities

  • Set the technical vision and define the roadmap for frontier AI infrastructure spanning a multi-cloud heterogeneous compute fleet
  • Design and build distributed systems for job scheduling, cluster management, and cost governance
  • Partner closely with ML researchers and engineers to scale and optimize end-to-end performance of AI training and inference workloads
  • Establish connections with cross-functional partners, collaborating with teams across cloud infrastructure, business operations, finance, and engineering

Qualifications

  • Bachelor’s degree in Computer Science, relevant technical field, or equivalent practical experience
  • 15 years of experience designing and building very large-scale distributed systems
  • Proficiency in at least 1 backend language (e.g., Python, C++, Go, Rust)
  • Proficiency in cloud-native architectures and compute orchestration platforms (e.g., Kubernetes)
  • Hands-on experience working with ML accelerators such as GPUs and TPUs
  • Track record of mentoring senior engineers and setting long-term architectural vision across orgs

Skills

Required:Backend programmingCloud-native architecturesML acceleratorsDistributed systems designMentoring

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • Apple shareholder opportunities through stock programs
  • Employee Stock Purchase Plan
Last updated Oct 9, 2026. Interested? Apply on the company site.

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