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Software Engineer - Core OS Telemetry, CoreOS

Apple - San Diego, United States of America

Posted May 19, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work
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Application

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About this role

Software Engineer - Core OS Telemetry, CoreOS San Diego, United States of America The Core OS Telemetry team at Apple is seeking an experienced software developer to enhance power and performance across Apple products. The role involves designing and building a scalable platform for collecting data from devices, which will enable Apple engineers to improve battery life and performance across all platforms. The developer will work on various Apple operating systems, contributing to high-quality software that impacts billions of users. We're looking for a motivated engineer with excellent programming, problem-solving, and communication skills. You will be responsible for the design and development of an on-device platform for efficient data collection to improve the power and performance of Apple products. You will enable the continued innovation in identifying and collecting relevant metrics. You must be proactive to collect these metrics in an efficient manner while preserving user privacy. You would be challenged to implement cross-platform software solutions that work across iOS, watchOS, macOS, and visionOS devices. Experience in building, shipping, and maintaining system software is required. To be successful in this role, you must have a solid software engineering background coupled with a good system understanding and the ability to write production-level code. Design and develop a core telemetry platform to help collect telemetry for power and performance. This includes building infrastructure/platform for data collection, storage, and querying power, performance data. Collaborate with Apple engineers to improve battery life and performance to identify relevant metrics. Utilize analytics to understand large-scale trends

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