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Salary
≈ $234k – $452k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Staff · 10+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 2,996 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026. Apple scores B on the Alion truth index.

Overview
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

The Synthetic Data Group (SDG) Cloud Infrastructure team at Apple is responsible for building the next generation of secure, high-performance cloud services to support machine learning/GenAI and synthetic data initiatives. We are a multi-functional team solving challenging engineering problems across distributed systems, large-scale data infrastructure, and cloud services.

Description

In this role, you will architect and develop the cloud infrastructure powering Apple’s Machine Learning and Synthetic Data Platform. You will design scalable services and pipelines to process and manage large volumes of data, enabling cutting-edge ML applications. This role involves tackling complex distributed system challenges - from optimizing data storage and

retrieval to ensuring low-latency, high-throughput computations - all while maintaining world-class security and reliability. You will collaborate closely with machine learning engineers, data scientists, and other engineering teams to integrate new algorithms and data sources into our platform. Your work will involve full-stack ownership of cloud services: from defining system architecture and APIs to implementing back-end services and deploying infrastructure as code. We use a broad range of technologies including AWS services, Kubernetes, Terraform, Golang, and modern databases. We value simplicity and rigor: you will drive for clean, maintainable designs and use data-driven insights to continuously improve performance and scalability. You will also mentor other engineers and play a key role in setting technical direction. You’ll have the opportunity to innovate - exploring alternative technologies, prototyping new solutions, and influencing product direction to better serve our internal customers. If you are excited by the prospect of building critical cloud infrastructure for AI/ML at a large scale, this role will allow you to do the best work of your life at Apple.

Minimum Qualifications

BS and a minimum of 10 years relevant industry experience

5+ years of software engineering experience building and operating cloud infrastructure or distributed systems at scale

Hands-on experience with AWS services including EC2, EKS, S3, ELB and SQS

Experience with Kubernetes-based container orchestration and production operations

Proficiency with Infrastructure-as-Code tools such as Terraform

Strong programming skills in Go (Golang) for systems and service development

Proficiency in at least one additional language used for full-stack services development (JavaScript, Python)

Experience designing and building microservices-based architectures in production

Experience with relational databases (e.g., Postgres) and NoSQL datastores in production environments

Demonstrated ability to use a quantitative approach to architect and develop robust, secure, high-performance cloud services (modeling, iterative prototyping, analysis, tools)

Track record of influencing cross-functional architects and high-performance teams to define architecture

Exposure to Agile development methodologies

Preferred Qualifications

Experience designing and building applications using container and serverless technologies

Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration, and automated deployment

Experience with CI tools (e.g., Jenkins)

Strong practical application development experience on Linux systems

Excellent communication and collaboration skills

Experience with film and game development pipelines (plus)

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