Graphics Power Architect, Platform Architecture

Apple Inc

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Quick summary

Work type: On-site
Location: Austin, TX
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $222k

$163k most similar roles pay here $290k

This listing doesn't post a salary. Most similar roles pay $187,850–$256,950.

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 2315 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1885 roles with salary data.

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At a glance

TL;DR · Graphics Power Architect, Platform Architecture

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As a Graphics Power Architect, Platform Architecture, you will join the GPU Platform Architecture team to drive advanced exploration for next-generation GPU architectures in iPhone, iPad, and Mac products. You will work closely with architecture, design, and software partners to define and tune future GPU power architectures. Your daily responsibilities include developing and maintaining GPU models to understand and enhance power architecture while collaborating with architects, RTL designers, and software teams to assess the feasibility of new hardware and software features through experimentation and reporting. This role requires proficiency in C++, Python, or Ruby, along with expertise in GPU or CPU micro-architecture design. You will solve complex design challenges involving power modeling, active power management, and potentially developing adaptive or machine learning based algorithms to optimize device power for high-performance products.

Skills

GPU Architecture Micro-architecture C++ Python Ruby Power Modeling Active Power Management Machine Learning RTL Design Scripting

What you'll do

Define and tune future GPU power architectures for iPhone, iPad, and Mac products.
Develop and maintain GPU models using C++ and Python to analyze power architecture.
Assess the feasibility of new hardware and software power features.
Run experiments and report findings to evaluate architectural improvements.
Analyze and optimize device power through active power management techniques.
Create adaptive or machine learning based algorithms for power management.
Evaluate complex designs from initial architecture through to final production.

What we're looking for

Experience in GPU or CPU architecture and micro-architecture design.
Proficiency in C/C++ and a scripting language such as Python or Ruby.
Experience working as part of large cross-functional teams (preferred).
Experience in power modeling, active power management, and analyzing or optimizing device power (preferred).
Experience creating adaptive or machine learning based algorithms (preferred).
Degree in Computer Science, Electrical Engineering, or Computer Engineering (preferred).
20+ years of relevant experience (preferred).