GPU Performance Engineer, Platform Architecture

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Cambridge, MA
Salary: $134,700–$203,000 / yr
Posted: 139 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k

This role $169k

$121k most similar roles pay here $265k

This role pays less than 82% of similar roles. Most pay $180,350–$244,000 — the shaded band above. At the midpoint, this role pays about $169k versus about $212k for comparable roles.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · GPU Performance Engineer, Platform Architecture

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The GPU Performance Engineer, Platform Architecture joins the Platform Architecture GPU Modeling team to drive advanced exploration for next-generation GPU architectures in iPhone, iPad, and Mac products. This role involves creating and maintaining a high-performance C++ model of future GPUs while coding and debugging performance and functional models. The engineer will implement modern hardware features including machine learning for AI, ray tracing, and mesh shading. Key responsibilities include ensuring model accuracy, performing feature validation, and correlating results against other models and RTL. The position requires proficiency in C++, Python, or Ruby, along with experience using data analysis tools like Tableau, pandas, Excel, and matplotlib. Working closely with architects and software teams, the engineer will assess hardware feasibility, run performance experiments, and propose architectural changes to solve complex problems in GPU modeling and tuning.

Skills

C++ Python Ruby GPU Architecture Machine Learning Ray Tracing Mesh Shading RTL Tableau pandas matplotlib Excel Data Analysis

What you'll do

Develop and maintain high-performance C++ models of next-generation GPU architectures.
Code and debug performance and functional models of the GPU.
Implement modern hardware features including machine learning, ray tracing, and mesh shading.
Ensure model accuracy through feature validation and correlation against other models and RTL.
Analyze large datasets generated by models using various data analysis tools.
Conduct performance experiments to assess the feasibility of new hardware and software features.
Propose architectural changes based on analyzed results and research findings.

What we're looking for

Bachelor's degree or higher (MS or PhD preferred) in a related field.
Experience writing and debugging C++ code.
Experience with scripting languages such as Python or Ruby.
3+ years of experience modeling GPUs, CPUs, or similar architectures.
Understanding of GPU/CPU architectures and components like processing cores, caches, and memory hierarchies.
Experience debugging performance issues and correlating multiple models.
Proficiency with data analysis tools such as Tableau, pandas, Excel, or matplotlib.
Experience with machine learning, graphics applications, games, or benchmarks.

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