What are the responsibilities and job description for the Embedded CPU Engineer, Platform Architecture position at Apple, Inc.?
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. \n\nYou 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.\n\nThis 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.
BS in Electrical Engineering, Computer Engineering, Computer Science, or similar\nCPU architecture or microarchitecture experience\nExperience with performance simulation environments, and performance analysis or optimization of workloads\nExperience with one or more of the following ISAs: ARM, RISC-V, x86\nExperience in C, C , or similar programming languages\nExperience with scripting languages such as Python or Perl for analysis and automation
MS or PhD in Electrical Engineering, Computer Engineering, or Computer Science\n10 years of industry experience in CPU architecture or performance analysis\nExpertise in CPU microarchitecture in one or more of the following areas: branch prediction, prefetching, pipeline optimization, datapath, memory hierarchy\nExperience 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\nExperience with real-time operating systems and embedded software constraints\nUnderstanding of: power-performance trade-offs in CPU designs, system-level power management, and low-power design techniques\nStrong communication and collaboration skills across hardware and software teams\nExperience taking architectural ideas from concept through implementation
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. \n\nYou 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.\n\nThis 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.
BS in Electrical Engineering, Computer Engineering, Computer Science, or similar\nCPU architecture or microarchitecture experience\nExperience with performance simulation environments, and performance analysis or optimization of workloads\nExperience with one or more of the following ISAs: ARM, RISC-V, x86\nExperience in C, C , or similar programming languages\nExperience with scripting languages such as Python or Perl for analysis and automation
MS or PhD in Electrical Engineering, Computer Engineering, or Computer Science\n10 years of industry experience in CPU architecture or performance analysis\nExpertise in CPU microarchitecture in one or more of the following areas: branch prediction, prefetching, pipeline optimization, datapath, memory hierarchy\nExperience 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\nExperience with real-time operating systems and embedded software constraints\nUnderstanding of: power-performance trade-offs in CPU designs, system-level power management, and low-power design techniques\nStrong communication and collaboration skills across hardware and software teams\nExperience taking architectural ideas from concept through implementation