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Apple Senior Software Engineer - Field Diagnostics Engineering United States, California, Sunnyvale 976081105
Yesterday
In this role, you will be responsible for implementing new diagnostic features and maintaining diagnostic systems that support macOS, iOS, and watchOS. You will work on software design, development, testing, and system integration, ensuring seamless functionality across Apple’s hardware ecosystem. Your contributions will drive the evolution of diagnostics by enhancing accuracy, efficiency, and scalability.Beyond coding, you will collaborate closely with hardware, firmware, and software teams to define diagnostic requirements and align engineering efforts. Your insights will shape strategic diagnostic solutions that withstand technological advancements, system architecture changes, and evolving product needs.
- 7+ years experience crafting, implementing, testing, shipping, and/or supporting software
- Proficiency in object-oriented design and programming principles.
- Experience building desktop or mobile software applications and systems.
- Proven ability to collaborate effectively with cross-functional teams to define requirements and assess engineering impacts.
- Hands-on experience with Objective-C, Swift, or other C-based languages and scripting languages like Lua, Python or equivalent
- Demonstrated ability to drive technical innovation and contribute to long-term engineering solutions.
- Strong critical thinking and problem-solving skills, with a solution-oriented approach.
- B.S. degree in Computer Science, Computer Engineering, or related fields of study with 7+ years of experience in the industry.
- Experience with manufacturing or repair operations flows
- Knowledge of kernel-level or firmware development is a plus
- Ability to dive deep into technical details and understand the nuances of Apple products and systems
- Familiarity with server-side development using Java is a plus
- Experience with large-scale systems design, hardware diagnostics, and performance tuning
- Experience with machine learning platforms and data science workflows
- M.S. degree in Computer Science, Computer Engineering, or related fields of study with 7+ years of experience in the industry
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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