Staff/Sr. ML Infrastructure Engineer, Foundation Model Compute Infra

As a Senior/Staff Engineer on the Foundation Model Compute Infrastructure team, you will design and build large-scale infrastructure that powers foundation model training, fine-tuning, evaluation, and inference. You will develop model inference and fine-tuning services, onboard and benchmark new accelerators, and work closely with foundation model researchers and engineers to improve reliability, performance, scalability, and developer productivity across Apple’s AI workloads.

• 5+ years of industry experience building large-scale distributed systems or cloud infrastructure
• Experience with distributed ML training or inference systems
• Strong programming skills in Python, Go, C++, or similar systems languages
• Experience with accelerator infrastructure such as TPU, GPU
• Experience with Kubernetes, container orchestration, or large-scale cluster management systems
• Strong communication and collaboration skills across engineering and research teams
• Bachelor’s degree in Computer Science, Engineering, or related field, * Experience building schedulers, resource managers, or orchestration systems for distributed workloads
• Familiarity with frameworks such as JAX, PyTorch, TensorFlow, Ray, Pathways, or vLLM
• 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
• Strong expertise in distributed systems, scalability, reliability, and performance engineering
• Experience designing backend services or infrastructure platforms operating at production scale
• MS or PhD in Computer Science, Engineering, or related field

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