GPU Performance Engineer (Platform Architecture GPU Modeling)

Quick Facts

• Role: GPU Performance Engineer (Platform Architecture GPU Modeling)
• Team focus: GPU modeling and performance analysis for next-generation GPU architectures in iPhone, iPad, and Mac

Description

You will create and maintain a high-performance C++ model of next-generation GPUs and collaborate with architecture, design, and software partners to define and tune future GPU architectures. Core responsibilities include coding and debugging GPU performance/functional models, implementing modern hardware features (e.g., machine learning for AI, ray tracing, mesh shading), and ensuring model accuracy through validation and correlation with other models and RTL. You will also develop tools for analyzing large amounts of model-generated data and use experiment results to propose architectural changes.

Benefits

• Highly visible role with critical impact on delivering high-performance products quickly
• Collaborative environment with architects, modeling engineers, compiler engineers, and software teams

Requirements

• Bachelor’s degree
• Experience writing and debugging C++ code
• Experience with scripting languages such as Python or Ruby
• Troubleshooting and debugging skills

Hard Skills & Technologies

• C++
• Python
• Ruby
• GPU/CPU architecture
• Performance and functional modeling
• RTL correlation
• Data analysis (pandas, Tableau, Excel, matplotlib)
• Machine learning and graphics application/benchmark experience (preferred)