AIML - Senior Software Engineer, Machine Learning Platform and Infrastructure

AIML - Senior Software Engineer, Machine Learning Platform and Infrastructure

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!

Description

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. In this role, you will be tasked with the following:

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

Minimum Qualifications

• 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 systems; identifying shortcomings and optimization opportunities; and making data-driven cost performance tradeoffs to influence design decisions.
• Experience managing cloud environments (AWS, GCP) infrastructure as code (IaC).
• Experience building and operating infrastructure and tools that empower developers/product teams to deliver business value.
• Experience leading strong technical teams that balance operational excellence, collaboration, and user needs.

Preferred Qualifications

• 10+ years of experience in cloud infrastructure and distributed systems engineering.
• Strong proficiency in Go or Rust with experience in building automation tools and distributed systems.
• Proficiency in Kubernetes controller development and automating cluster management.
• Strong knowledge of CI/CD frameworks and DevOps practices.
• Familiarity with monitoring and observability tools to ensure high availability and performance.
• Strong problem-solving skills, capable of debugging issues that span heterogeneous compute environments.
• Excellent communication and collaboration skills, with a proven ability to work across engineering teams and influence architectural decisions.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.