About the role

What will you do at Apple?

The CPU Platform Architecture team is responsible for pushing the boundaries of

both single-threaded and multi-threaded CPU performance, to enhance the user

experience of many Apple products. The team is composed of experts with deep

experience in microarchitecture, ISA definition, performance modeling, power

modeling, and workload analysis. We are seeking a highly motivated, innovative,

and confident individual to join the CPU Platform Architecture team to help

drive advanced exploration for next-generation iPhone, iPad, Mac, and server CPU

designs.

DESCRIPTION

As a CPU Performance Engineer with a focus on the memory subsystem, you will be

part of a team that is defining and optimizing CPU and cache micro-architecture.

Working collaboratively, you will seek out areas of the design for improvement

by identifying performance bottlenecks and evaluate ideas to address them. You

will engage with experienced CPU and SoC designers in micro-architecture and RTL

to assess the feasibility of ideas through modeling, refine ideas and model

correlation, and seed new ideas. The role requires the analysis of

single-threaded and multi-threaded workloads across existing and new product

categories to identify bottlenecks and opportunities for improvement. We

collaborate as a larger CPU architecture and performance team to maintain and

improve the simulation environment to enable data- driven decisions and always

look for ways to boost the productivity of the entire team.

MINIMUM QUALIFICATIONS

BS degree Experience in CPU and SOC architecture and micro-architecture

Experience with performance simulation environments Object-oriented programming

experience in C/C++ Experience in a scripting language such as Perl or Python

PREFERRED QUALIFICATIONS

Knowledge of memory latency tolerance techniques or other aspects of CPU memory

subsystem (i.e. prefetching, caching policies) 10+ years of relevant industry

experience MS or PhD in Electrical or Computer Engineering or Computer Science

Understanding of common data structures and algorithms Familiarity with SIMD,

vector, or accelerator architectures Familiarity with MP performance Comfortable

in an environment of uncertainty and able to navigate through ambiguities

Experience in a research-driven environment

Which skills does this role require?

CPU ArchitectureMicroarchitecturePerformance ModelingPower ModelingWorkload AnalysisC++CPerlPythonMemory SubsystemRTLSoC DesignVector ArchitecturesISASoCSimulation EnvironmentsData-driven DecisionsHardware EngineeringComputer ArchitectureSystem Design

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