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Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

Apple•Austin, TX
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/16/2026•Expires 11/16/2026
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Job Description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them.

It's Apple's central nervous system. Supporting 2. 5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale?

Imagine what you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation.

The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.

This role will build solutions that integrate open source software with Apple's internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence.

You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.

This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, suppor

Required Skills

CloudDistributed systemsData volumesCloud infrastructureOpen source softwareMachine learningGenerative AIData explorationAnalyticsReportingProduction modelsPythonCloud developmentApplication developmentData servicesCustomer successData platformsAI-powered innovationData analysisDesignTestingDebuggingCodebase tuning

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