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

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!
Experience building schedulers, resource managers, or orchestration systems for distributed workloads
Experience with accelerator infrastructure such as TPU, GPU
Experience with distributed ML training or inference systems
Familiarity with frameworks such as JAX, PyTorch, TensorFlow, Ray, Pathways
Experience operating large-scale multi-tenant infrastructure in cloud or hybrid environments
Background in performance optimization, fault tolerance, or resource efficiency for large distributed systems
MS or PhD in Computer Science, Engineering, or related field
Internal Details
Key Matching Terms
#ASEENG #ASKENG