GPU Performance Engineer (Platform Architecture)

Quick Facts

• Role: GPU Performance Engineer (Platform Architecture)

Description

You will work with architecture, design, and software partners to define and tune future GPU architectures. The role focuses on creating and maintaining a high-performance C++ GPU performance and functional model, implementing modern GPU features (e.g., machine learning for AI, ray tracing, mesh shading), and ensuring model accuracy through feature validation and correlation against other models and RTL. You will also analyze large amounts of model-generated data and collaborate with cross-functional teams to assess feasibility and propose architectural changes.

Responsibilities

• Code and debug a performance and functional GPU model
• Implement modern hardware features (e.g., AI/ML, ray tracing, mesh shading)
• Ensure model accuracy and validate features by correlating with other models and RTL
• Develop and use analysis tools for large datasets
• Run performance experiments, analyze results, and propose architectural changes
• Collaborate 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

Benefits

• Highly visible role with critical impact on highly performant products
• Collaborative environment working with experienced architecture and software teams