π Local Job Near You
Embedded CPU Architect, Platform Architecture
Apple
π
Beaverton, United States
Location
Beaverton
Posted
June 03, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**Role Number:** 200662701-0505
**Summary**
We are seeking a highly motivated and innovative Embedded CPU Architect to join the Platform Architecture team. In this role, you will drive performance and efficiency optimization and architectural feature exploration for Appleβs embedded CPUs that power critical functions across Apple's product line.
**Description**
As an Embedded CPU Architect, you will help define CPUs that are specifically designed for running embedded applications across iPhone, iPad, Mac, and other Apple products. Your focus will be on understanding the unique constraints and opportunities of varied embedded use cases and translating those insights into improvements for both the software stack as well as the hardware including the CPU and its surrounding subsystem.
You will be responsible for deep-dive performance analysis of embedded workloads, identifying bottlenecks in existing microarchitectures, and proposing optimization strategies tha...
**Summary**
We are seeking a highly motivated and innovative Embedded CPU Architect to join the Platform Architecture team. In this role, you will drive performance and efficiency optimization and architectural feature exploration for Appleβs embedded CPUs that power critical functions across Apple's product line.
**Description**
As an Embedded CPU Architect, you will help define CPUs that are specifically designed for running embedded applications across iPhone, iPad, Mac, and other Apple products. Your focus will be on understanding the unique constraints and opportunities of varied embedded use cases and translating those insights into improvements for both the software stack as well as the hardware including the CPU and its surrounding subsystem.
You will be responsible for deep-dive performance analysis of embedded workloads, identifying bottlenecks in existing microarchitectures, and proposing optimization strategies tha...