CPU Performance & Workload Analytics - Platform Architecture

Apple Inc.

Beaverton (OR)

On-site

USD 150,000 - 190,000

Full time

9 days ago

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Job summary

Apple Inc. in Beaverton, Oregon is seeking an experienced CPU Performance and Workload Analysis Engineer to join Platform Architecture.

You will profile workloads, run analysis across CPU/SoC simulations, and work with software teams to optimize code for our CPU designs and roadmap. The role emphasizes deep understanding of CPU architecture, micro-architecture, and performance analysis tools, with collaboration across hardware and software groups to influence product direction and workloads for

Qualifications

  • Experience in CPU architecture and micro-architecture.
  • Proficiency in object-oriented programming with C/C++.
  • Experience with CPU performance analysis and related tools.

Responsibilities

  • Profile and analyze existing and emerging workloads, bring up in CPU/SOC simulation environment
  • Develop and maintain performance and trace analysis tools
  • Develop and implement visual extensions to assist with data analysis that can be used internally and also by the various software partners in Apple
  • Run and analyze workloads on simulators and prototype devices as well as work on developing and automating performance analysis infrastructure
  • Develop domain expertise in emerging fields (ex: ML, AR/VR) in order to both identify hardware advancement opportunities and assist software teams in optimizing for our devices.
  • Profile and analyze workload in potential new product areas to help guide CPU roadmap decisions

Skills

CPU architecture
C and C++
CPU performance analysis tools

Education

MS or PhD in Electrical or Computer Engineering

Job description

Apple Inc. in Beaverton, Oregon is seeking an experienced CPU Performance and Workload Analysis Engineer to join Platform Architecture.

You will profile workloads, run analysis across CPU/SoC simulations, and work with software teams to optimize code for our CPU designs and roadmap. The role emphasizes deep understanding of CPU architecture, micro-architecture, and performance analysis tools, with collaboration across hardware and software groups to influence product direction and workloads for

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