Performance Modeling Software Architect, Platform Architecture
Quick summary
- Work type
- On-site
- Location
- Austin, TX
- Posted
- 41 days ago
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $151,337–$235,125.
Based on 240 similar postings.
Employer
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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