GPU Performance Engineer (Platform Architecture, GPU Modeling)

Quick Facts

• Role: GPU Performance Engineer (Platform Architecture, GPU Modeling)

Description

Build and maintain a high-performance C++ GPU performance/functional model for next-generation GPUs, collaborating with architecture, design, and software partners to define and tune future GPU architectures.

Implement modern GPU features (including machine learning for AI, ray tracing, and mesh shading), ensure model accuracy through validation and correlation against other models and RTL, and analyze large datasets generated by the models.

Responsibilities

• Code and debug GPU performance and functional models.

• Implement modern hardware features such as machine learning for AI, ray tracing, and mesh shading.

• Maintain model accuracy; perform feature validation and correlate against other models and RTL.

• Develop and use tools to analyze substantial volumes of model data.

• Run performance experiments, analyze results, and propose architectural changes.

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 getting highly performant products to customers quickly.

• Collaborative work environment with architects, modeling engineers, compiler engineers, and software teams.

• Opportunity to develop and improve GPU simulators for research, performance analysis, and architectural tuning.