Performance Modeling Software Architect, Platform Architecture

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
41 days ago

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How this pay compares to similar roles

Similar $193k
$138k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $151,337–$235,125.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Performance Modeling Software Architect, Platform Architecture

We are seeking a Senior Performance Engineer to join our hardware engineering team, focusing on optimizing the performance of cutting-edge computing devices. In this role, you will conduct in-depth analysis and run complex simulations to identify bottlenecks and enhance system efficiency. Day-to-day tasks include developing test scripts, analyzing data, and collaborating with cross-functional teams to implement improvements. Ideal candidates should have expertise in C++, Python, and simulation tools like Simulink or MATLAB. Experience with hardware-software co-design and a deep understanding of computer architecture are crucial. This position involves working on large-scale projects that impact the performance and reliability of our high-performance computing products, addressing critical business challenges related to speed and energy efficiency.

What you'll do

  • Conduct detailed hardware performance analysis.
  • Design and implement simulation models for testing.
  • Optimize system configurations to enhance performance.
  • Identify bottlenecks through comprehensive benchmarking tests.
  • Develop reports on simulation outcomes and recommendations.

What we're looking for

  • Bachelor's degree required.
  • Experience in running performance simulations.
  • Strong understanding of hardware and software interactions.
  • Proficiency in simulation tools and technologies.
  • Ability to analyze and interpret complex data sets.

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