Distinguished AI Infra Architect, Multi-Cloud Scale

AI Pulse; Cupertino (CA); On-site; USD 311,000 - 497,000; Full time

Benefits offered by this job

Stock programs

Discounted products

Educational reimbursement

Relocation assistance

Discretionary bonuses

Job summary

Apple seeks a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI infrastructure. You will shape architecture and strategy for large-scale training and inference systems, spanning multi-cloud environments and collaborating with ML researchers, engineers, and cross-functional teams.

You will set the technical vision, design scalable scheduling and cluster management, and optimize performance across accelerator platforms while mentoring senior

Qualifications

• Bachelor’s degree in Computer Science or related field required.
• 15 years of experience designing and building very large-scale distributed systems.

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 across cloud infrastructure, business operations, finance, and engineering.

Skills

Distributed systems design

Backend programming

Cloud architectures

Mentoring

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

PyTorch

JAX

GPUs/TPUs

Job description

Apple seeks a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI infrastructure. You will shape architecture and strategy for large-scale training and inference systems, spanning multi-cloud environments and collaborating with ML researchers, engineers, and cross-functional teams.

You will set the technical vision, design scalable scheduling and cluster management, and optimize performance across accelerator platforms while mentoring senior