Senior AI Infra Architect for Multi-Cloud Training

Apple, Inc.; Seattle (WA); On-site; USD 296,000 - 472,000; Full time

Job summary

Apple, Inc. in Seattle, WA, is seeking a Distinguished Engineer to provide technical leadership for next-generation AI infrastructure.

You will shape architecture and long-term strategy for large-scale training and inference systems, spanning hardware, software, algorithms, and cloud platforms. You will collaborate with ML researchers and engineers to scale performance from training to deployment, guiding cross-functional teams across cloud infrastructure, finance, and operations.

Qualifications

• Bachelor’s degree in Computer Science, or related field.
• 15 years of experience designing and building very large-scale distributed systems.
• Proficiency in at least 1 backend language (e.g., Python, C++, Go, Rust).
• Proficiency in cloud-native architectures and compute orchestration platforms (e.g., Kubernetes).
• Hands-on experience working with ML accelerators such as GPUs and TPUs.
• Track record of mentoring senior engineers and setting long-term architectural vision across orgs.

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, collaborating with teams across cloud infrastructure, business operations, finance, and engineering.

Skills

Distributed systems design

Backend languages

Cloud-native architectures

ML accelerators

Mentoring engineers

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in CS or related field

Tools

Kubernetes

PyTorch

JAX

Job description

Apple, Inc. in Seattle, WA, is seeking a Distinguished Engineer to provide technical leadership for next-generation AI infrastructure.

You will shape architecture and long-term strategy for large-scale training and inference systems, spanning hardware, software, algorithms, and cloud platforms. You will collaborate with ML researchers and engineers to scale performance from training to deployment, guiding cross-functional teams across cloud infrastructure, finance, and operations.