GPU Performance Engineer, Platform Architecture

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 RTL and other models.
• 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 experimental data.

What we're looking for

• Bachelor's degree or MS/PhD 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 and CPU architectures.
• Experience coding components like processing cores, texturing units, caches, and memory hierarchies.
• Experience debugging performance issues and correlating multiple models.
• Proficiency with data analysis tools such as Tableau, pandas, Excel, or matplotlib.