Senior OS Software Engineer, Field Engagement & Analytics at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Objective-C, Swift, Embedded Systems, Operating Systems, Data Analytics, Telemetry, Observability, Performance Optimization, Process Management, Memory Management, Inter-process Communication, Concurrent Programming, Synchronization Primitives, Privacy-preserving Data Collection, Gen AI Coding Tools

Industry

Computers and Electronics Manufacturing

Description

How are Apple devices used and how can they be improved? What kinds of problems do our users experience? These are the kinds of questions the SWE Data Analytics org is built to answer. We are looking for a Senior Software Engineer to join us in developing our OS data collection services. The ideal candidate will be someone experienced in developing embedded systems software with an interest in data collection techniques. SWE Data Analytics collects, stores, and analyzes diagnostics and usage data from Apple devices across the world, with user privacy at the core of everything we do. Our data generates insights that inform product strategies across all of software and hardware development, and directly impacts the quality and reliability of Apple products. The on-device software that powers this data pipeline will ultimately live on millions of devices worldwide, playing a critical role in helping Apple improve, create, and deliver the products that consistently delight our users. DESCRIPTION As a Senior Software Engineer on the Device Diagnostics Data team, you will take ownership of the tools, daemons, and frameworks that make up the foundation of our data pipeline. You will develop and ship software for all Apple platforms (macOS, iOS, tvOS, watchOS, and visionOS) and collaborate closely with teams across Apple to drive technical decisions that will shape our data collection strategy. MINIMUM QUALIFICATIONS B.S. in Computer Science or equivalent experience 5 years experience in software development Understanding of operating systems fundamentals including process management, memory management, inter-process communication, concurrent programming, and synchronization primitives Understanding of privacy-preserving data collection techniques and security best practices Expert level experience with one of the following languages and related development tools: C++, Objective-C, Swift Excellent communication skills and ability to collaborate effectively across multiple business and technical teams Excellent problem solving, critical thinking, and interpersonal skills Familiarity with Gen AI coding tools and a demonstrated ability to use them for design, code generation, and debugging PREFERRED QUALIFICATIONS Experience in designing and building OS level software with its concomitant constraints and requirements Experience with telemetry, analytics, or observability systems Experience with performance optimization under constrained environments (memory, CPU, battery, network) Highly professional, with the ability to deliver solid work on tight schedules Proven ability to ramp up quickly in new environments, self-direct, and deliver meaningful contributions with minimal onboarding time Strong object-oriented and systems software design skills Demonstrated ability to mentor junior engineers and provide technical leadership

Responsibilities

You will own the development of tools, daemons, and frameworks for Apple's device diagnostics data pipeline across all platforms. You will collaborate with cross-functional teams to drive technical decisions and shape the global data collection strategy.