Are you a passionate software engineer eager to design and build cloud-native infrastructure platforms at Apple scale for Siri, Search, and AI/ML products? We’re seeking a talented software engineering leader with deep expertise in infrastructure and distributed systems to architect and develop scalable, cloud-native platforms that leverage cutting-edge technologies, machine learning, and open source to power seamless and intelligent experiences for billions of Apple users. If you’re excited about driving innovation and building resilient systems that support Apple’s global AI/ML initiatives, we’d love for you to join our team!

The MLPT Cloud Infrastructure Team at AI/ML is responsible for designing, building, and scaling the foundational platforms and services that power Siri, Search, and other cutting-edge products. Whether it’s streamlining service delivery through CI/CD pipelines, automating infrastructure management or optimizing performance across multi-cloud environments, we are committed to building the next-generation platform for Apple’s most innovative products.

In this role you will be tasked with the following:
-Architect and develop scalable cloud-native platforms to support the deployment and operation of Apple’s AI/ML services and applications.
-Lead the design and implementation of distributed systems that are resilient, secure, and optimized for high performance.
-Collaborate with AI/ML teams and other infrastructure engineers to ensure seamless integration of platform solutions into machine learning workflows.
-Drive the adoption of cloud-native technologies across the organization, influencing architectural decisions and best practices.
-Troubleshoot complex infrastructure issues, ensuring optimal performance and reliability across multi-cloud environments.
-Mentor junior engineers and contribute to the team’s overall growth and technical excellence.

B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.7+ years programming experience in languages such as Golang, Python, Java, Rust, C/C++ etc.Proven track record of building large scale, cloud based complex distributed large-scale Kubernetes based systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisionsExperience managing cloud environments (AWS, GCP) infrastructure as code (IaC)Experience building and operating infrastructure and tools that empower developers/product teams to deliver business valueExperience leading strong technical teams that balance operational excellence, collaboration and user needs