6 days ago

CPU Performance and Workload Analysis Engineer

Apple

On Site
Full Time
$220,000
Santa Clara, CA

Job Overview

Job TitleCPU Performance and Workload Analysis Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$220,000
LocationSanta Clara, CA

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Job Description

Summary

Modern system-on-chip (SoC) designs have dramatically changed how hardware and software is developed. It is increasingly important to understand the concerns of software developers when designing hardware while it is also increasingly meaningful for software developers to understand how their applications can map efficiently to modern client and server hardware. Those who can understand both and prefer to live at the intersection of hardware and software are deeply valuable, especially to Apple. The Apple CPU Architecture and Performance Team is seeking highly motivated and self-driven engineers who want to live at this intersection, individuals who have or want to develop domain expertise in emerging areas like AI, individuals who have a high-level CPU architecture understanding and desire to work with a world class team for CPU, SoC, and software development. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team.

Description

We drive advanced exploration for next generation CPU architectures. As a member of this team, you are the interface between the CPU team, system teams, and many software teams at Apple. We have a data driven approach that is focused on real user workloads (both existing and emerging) so your work will guide optimizations and the direction of future CPUs. At the same time, you will be working with software developers to optimize code for our CPU designs and roadmap.

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

Minimum Qualifications

  • Bachelor’s degree
  • Experience with CPU architecture and micro-architecture
  • Object-oriented programming experience with C and C++
  • Experience in scripting languages such as Perl, Python, or Javascript
  • Experience with CPU performance analysis and associated tools

Preferred Qualifications

  • MS or PhD in Electrical or Computer Engineering, or related field
  • 3+ years of relevant experience
  • Knowledge of common performance benchmarks
  • Experience working multi-functionally with people of very diverse backgrounds
  • Demonstrated communication, influence, and negotiation skills
  • Technical documentation skills
  • Knowledge of visual/UI, data analysis frameworks and modern AI tools
  • Knowledge of OS internals and compiler technology

Key skills/competency

  • CPU Architecture
  • Performance Analysis
  • Workload Profiling
  • C/C++ Programming
  • Python Scripting
  • SoC Simulation
  • Data Analysis
  • Machine Learning
  • AR/VR Technologies
  • Compiler Technology

Tags:

CPU Performance and Workload Analysis Engineer
CPU architecture
performance analysis
workload profiling
SoC simulation
tool development
data analysis
ML optimization
AR/VR
compiler technology
hardware-software co-design
C++
C
Python
Perl
JavaScript
simulators
prototype devices
OS internals
data analysis frameworks
AI tools

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How to Get Hired at Apple

  • Research Apple's innovation: Deeply understand Apple's commitment to cutting-edge technology and user experience.
  • Tailor your resume: Highlight experience in CPU architecture, performance analysis, and C/C++/Python for this role.
  • Showcase problem-solving: Prepare examples demonstrating your analytical skills and cross-functional collaboration.
  • Master technical fundamentals: Brush up on SoC design, micro-architecture, and data analysis frameworks relevant to CPU performance.
  • Network strategically: Connect with current Apple engineers on LinkedIn for insights and potential referrals.

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