Sr./Staff ML Infrastructure Engineer, Compute (TPU Scheduling) - Foundation Model

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Sr./Staff ML Infrastructure Engineer, Compute (TPU Scheduling) - Foundation Model Santa Clara, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something! As a Senior/Staff Engineer on the Foundation Model Compute Infrastructure team, you will lead the design and development of scheduling and orchestration systems for large-scale TPU workloads across multi-region clusters. You will work on distributed systems that manage thousands of accelerators and enable reliable, efficient execution of large-scale training and inference jobs. This role spans scheduling algorithms, cluster lifecycle management, workload orchestration, reliability engineering, and performance optimization. Design and evolve large-scale scheduling systems for TPU-based training and inference workloads across multi-region clusters Build topology-aware, quota-aware, and fault-tolerant schedulers to improve utilization, fairness, startup latency, and reliability Develop orchestration systems for distributed ML workloads running on Kubernetes and accelerator infrastructure Improve cluster efficiency and operational scalability through automation of provisioning, resource management, quota workflows,

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