GPU Performance Engineer, Platform Architecture

As part of the Platform Architecture GPU Modeling team, you will be working with architecture, design and software partners on the definition and tuning of Apple’s future GPU architectures. The role involves the creation and maintenance of a high-performance C++ model of our next-generation GPUs. Core responsibilities include coding and debugging a performance and functional model of the GPU; implementing modern hardware features such as machine learning for AI, ray tracing, mesh shading, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating against other models and RTL. You’ll develop and utilize diverse tools for analyzing the substantial amount of data generated by the models. The team is in a highly collaborative work environment, and you’ll be working with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments, analyzing results, and proposing architectural changes. Bachelor’s degree Experience writing and debugging C++ code Experience with scripting languages such as Python or Ruby 10+ years of experience modeling GPUs, CPUs, or similar MS or PhD degree in related field Experience coding components such as processing cores, texturing units, caches, memory hierarchies, etc. Understanding of GPU/CPU architectures Experience debugging performance issues and correlating multiple models Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc. Experience working with cutting edge machine learning and/or graphics applications/games/benchmarks Troubleshooting skills

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