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.

Minimum Qualifications
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

Preferred Qualifications
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