Embedded CPU Architect, Platform Architecture
We are seeking a highly motivated and innovative Embedded CPU Architect 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.
Description
As an Embedded CPU Architect, 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.
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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.","responsibilities":"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 understand use case requirements that could be unique for each environment
Translate findings into actionable improvements to our designs and software
Work with CPU design team to implement proposed improvements while balancing tradeoffs for power, timing and area
Provide feedback into and help develop performance models, simulators, and analysis tools used to support architectural exploration
Preferred Qualifications
MS or PhD in Electrical Engineering, Computer Engineering, or Computer Science
20+ years of industry experience in CPU architecture or performance analysis
Expertise in CPU microarchitecture in one or more of the following areas: branch prediction, prefetching, pipeline optimization, datapath, memory hierarchy
Experience in one or more of the following areas: embedded ML workloads and inference engines, SIMD/vector architectures for signal processing or ML, or compiler infrastructure and toolchain development for embedded workloads
Experience with real-time operating systems and embedded software constraints
Understanding of: power-performance trade-offs in CPU designs, system-level power management, and low-power design techniques
Strong communication and collaboration skills across hardware and software teams
Experience taking architectural ideas from concept through implementation
Minimum Qualifications
BS in Electrical Engineering, Computer Engineering, Computer Science, or similar
CPU architecture or microarchitecture experience
Experience with performance simulation environments, and performance analysis or optimization of workloads
Experience with one or more of the following ISAs: ARM, RISC-V, x86
Experience in C, C++, or similar programming languages
Experience with scripting languages such as Python or Perl for analysis and automation","internalDetails":null
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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