Job Details

Role Number: 200644360-3956

Summary

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)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .