Senior Cloud Engineer – Special Projects
Apple - Cupertino, United States of America
Posted Dec 9, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Cloud Engineer – Special Projects Cupertino, United States of America Apple's intelligent systems connect hardware, software, and services in ways that feel effortless and deeply personal. We're looking for an engineer who thrives at this intersection - someone who can design robust cloud infrastructure and services, build intelligent data pipelines, and turn complex, multi-modal data into clear and actionable insights. You'll architect and operate the systems that power Apple's distributed AI experiences - from data pipelines processing large-scale device and server logs, to inference platforms hosting models for live and offline evaluation. Your work will help teams understand, optimize, and elevate the intelligence that drives Apple products. Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple's next generation of AI-driven experiences - from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple's ecosystem. The work is hands-on, highly cross-disciplinary, and central to shaping how Apple's intelligent systems evolve. Design, build, and maintain scalable cloud infrastructure and services supporting AI-driven products and experiments Develop data pipelines that process and transform large volumes of multi-modal data Implement inference platforms that host or proxy models for live inference, batch annotation, and large-scale evaluation Design and build metrics dashboards, KPIs, and evaluation frameworks to measure data quality, model performance, and
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