GPU Performance Modeling Engineer, Platform Architecture

3 Months ago • All levels • Devops

Job Summary

Job Description

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 features such as ray tracing, mesh shading, machine learning, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating against other models and RTL. You’ll utilize and develop diverse tools for analyzing the substantial amount of data generated by the models. You will collaborate 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.

Job Details

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 features such as ray tracing, mesh shading, machine learning, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating against other models and RTL. You’ll utilize and develop diverse tools for analyzing the substantial amount of data generated by the models. You will collaborate 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.

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