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We are seeking a highly motivated Diagnostics Engineer to design and develop next-generation diagnostic tools for Apple Devices, enhancing customer experiences and enabling seamless troubleshooting and repair solutions. This role involves developing cutting-edge diagnostics that integrate with OS releases, ensuring hardware and software work together flawlessly. If you're passionate about hardware-software integration, problem-solving, and creating impactful tools, we'd love to hear from you.
Description
As a Senior Software Engineer on the Field Diagnostics Engineering team, you will design and develop the next generation of diagnostic solutions that improve Apple's field repair capabilities across a wide range of hardware products. Your work will play a meaningful role in improving device reliability, streamlining troubleshooting, and crafting the customer repair experience. You will collaborate closely with hardware, firmware, and software teams to define diagnostic requirements, align engineering efforts, and ensure deep integration with evolving system architectures.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or a related field of study, with 8+ years of industry experience designing, implementing, testing, shipping, and supporting software.
Background building desktop or mobile software applications and systems.
Proficiency in Objective-C, Swift, or other C-based languages, alongside scripting languages like Lua, Python, or equivalent.
Practical application of object-oriented design and programming principles.
Track record of working on cross-functional engineering projects to define technical requirements and assess system impacts.
Demonstrated success in architecting and contributing to long-term engineering solutions.
History of diagnosing and resolving technical software engineering defects.
Preferred Qualifications
Master's degree in Computer Science, Computer Engineering, or a related field of study is preferred
Knowledge of diagnostics, repair operations, or manufacturing test workflows.
Background working with system architectures, drivers, kernel-level, or device firmware development.
Familiarity with large-scale systems design, hardware diagnostics, and performance tuning.
Exposure to server-side technologies and backend systems.
Understanding of image processing, computer vision, machine learning frameworks, telemetry data pipelines, or predictive diagnostics.
Ability to dive deep into technical details and understand the nuances of hardware and software systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 74fe62c20c738ccd516197a1ce083518
- Posted 30+ days ago
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