Embedded CPU Engineer, Platform Architecture
Apple - Beaverton, United States of America
Posted May 11, 2026
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
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- 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
Embedded CPU Engineer, Platform Architecture Beaverton, United States of America We are seeking a highly motivated and innovative Embedded CPU Engineer to join the Platform Architecture team. In this role, you will drive performance and efficiency optimization and architectural feature exploration for Apple's embedded CPUs that power critical functions across Apple's product line. As an Embedded CPU Engineer, you will help define CPUs that are specifically designed for running embedded applications across iPhone, iPad, Mac, and other Apple products. Your focus will be on understanding the unique constraints and opportunities of varied embedded use cases and translating those insights into improvements for both the software stack as well as the hardware including the CPU and its surrounding subsystem. You will be responsible for deep-dive performance analysis of embedded workloads, identifying bottlenecks in existing microarchitectures, and proposing optimization strategies that balance performance, power efficiency, and area. Working closely with algorithm teams, software engineers, and CPU designers, you will explore ISA extensions, microarchitecture enhancements, and system-level optimizations tailored to embedded use cases. This role requires some background in software profiling, performance modeling, and simulation environments. You will use and develop analysis tools and infrastructure to enable data-driven architectural decisions, create and analyze both real workloads and benchmarks representative of embedded workloads, and iterate with design teams to ensure ideas are implementable within power, timing, and area constraints. Analyze performance characteristics of embedded workloads including real-time processing, audio DSP, always-on scenarios, and embedded ML inference Collaborate with system architecture and software teams to
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