Software Engineer (Data), Ai & Data Platforms), Ai & Data Platforms

Job Description

Apple's Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's cloud analytics platforms and data pipelines.

Requirements

• Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
• Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java
• Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications
• Bachelor's degree in Computer Science or equivalent experience

Responsibilities

• Engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models
• Drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence
• Work closely with internal customers to understand their requirements and workflows, propose new features and ecosystem changes to streamline their experience of using the solutions on our platform
• Write code, design/develop applications on cloud, tune and debug codebase, support production applications and support application end users

Benefits

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.