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Develops and refines the software stack for Apple's HomeKit platform, enabling secure and intelligent connected home devices to work together seamlessly.
Designs, tests, and debugs Mac hardware systems, collaborating with cross-functional teams to optimize performance and reliability for mass production.
Lead a team of data engineers to build and maintain the data lake and pipelines that power Apple's capacity planning for cloud infrastructure, turning raw signals into trusted insights for multi-hundred-million-dollar decisions.
Every year Apple releases thousands of new features across its operating systems, yet the average user may only ever discover a small fraction of them. The Instructional Products team exists to close that gap. We help…
Designs and maintains the cloud infrastructure that powers Apple’s services for billions of users, focusing on reliability, automation, and hyperscale systems.
Build and maintain large-scale data pipelines and analytics platforms using Spark, Trino, and Snowflake to support business intelligence and AI-driven enhancements at Apple.
Oversee the design, integration, and deployment of Apple’s global SAP Sales & Distribution and e-commerce systems, ensuring seamless order-to-cash processes and end-to-end customer experience across regions.
Owns reliability and performance of Apple’s petabyte-scale distributed storage and data platform systems, debugging failures, tuning systems, and writing production code in Go or Python.
Designs and builds large-scale data pipelines and AI/ML solutions for Apple’s enterprise systems, using cloud-native tools and generative AI frameworks to support real-time analytics and agentic workflows.
Designs and builds next-generation AI models for Apple’s products, focusing on large language models, multi-modal systems, and reasoning agents using Python and deep learning frameworks.
Designs, builds, and deploys full-stack cloud enterprise solutions using Java, Spring, and modern frontend frameworks, integrating with SAP systems in a collaborative environment.
Build and maintain Apple’s cloud-based data platforms and pipelines, designing scalable distributed systems for analytics and reporting using technologies like Kafka, Spark, and Snowflake.
People at Apple don’t just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspires innovation in everything we do.…
Senior backend engineer building scalable Python services and data pipelines to power Apple's AI/ML models and GenAI workflows for billions of users.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power Apple's AI/ML research and products, using Python, Spark, and Google Cloud technologies.
Leads reliability standards and engineering excellence for Apple’s large-scale data analytics infrastructure, including Hadoop, Spark, and Airflow, while mentoring teams and ensuring high availability.
Build and maintain the internal cloud-compute platforms’ CI/CD, test-automation, and release-qualification systems that decide when Apple’s server hardware and OS releases are production-ready.
Program Manager leading data engineering projects for Apple’s commerce and billings analytics, building large-scale data pipelines that power subscriptions and services across 150+ countries.
Designs and integrates high-performance, low-power pixel processing ASICs for Apple’s SoCs, collaborating across teams to deliver functional multimedia IP for millions of devices.
Builds and tests AI/ML prototypes to turn research into interactive demos, spanning model training, serving systems, and user interfaces using PyTorch, Swift, and Apple frameworks.
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