Senior Embedded Engineer - Device Telemetry

Apple, Inc.; San Diego (CA); On-site; USD 142,000 - 263,000; Full time

Benefits offered by this job

Medical & dental coverage

Retirement benefits

Employee stock purchase plan

Stock programs

Job summary

Apple Inc. in San Diego is seeking a Senior Software Development Engineer to advance device telemetry accuracy.

You will develop on-device data collection tools, daemons, and relevant SPIs and services, with an emphasis on privacy-aware diagnostics across iOS, macOS, watchOS, and other Apple platforms. The role requires 3–5+ years in OS-level software design, expert knowledge of C++, Objective-C, or Swift, and strong testing discipline to ensure robust, scalable data pipelines across billions of

Qualifications

• Undergraduate degree in Computer Science or related field, or equivalent experience.
• 3–5+ years experience designing and building OS-level software with constraints.
• Expert knowledge of C++, Objective-C, or Swift and related development toolchain.
• Highly proficient with agentic development techniques.
• Proven record of high quality software delivery through unit and integration tests.

Responsibilities

• Develop on-device data collection frameworks, daemons, and APIs for device telemetry.
• Collaborate with SWE Data Analytics to improve data collection and privacy-focused analytics.
• Ensure comprehensive unit and integration test coverage across OS-level software.

Skills

C++

Objective-C

Swift

Development toolchain

Education

Bachelor's degree in Computer Science or related field

Tools

Xcode

Job description

Apple Inc. in San Diego is seeking a Senior Software Development Engineer to advance device telemetry accuracy.

You will develop on-device data collection tools, daemons, and relevant SPIs and services, with an emphasis on privacy-aware diagnostics across iOS, macOS, watchOS, and other Apple platforms. The role requires 3–5+ years in OS-level software design, expert knowledge of C++, Objective-C, or Swift, and strong testing discipline to ensure robust, scalable data pipelines across billions of