ML Systems Performance Engineer

Cerebras seeks a meticulous ML Systems Performance Engineer to ensure our advanced AI solutions operate at peak efficiency. This role is responsible for the end-to-end profiling and optimization of machine learning models and the systems that host them. You will diagnose bottlenecks in compute, memory, and data transfer across diverse architectures, developing sophisticated measurement frameworks to quantify performance gains. Key responsibilities include designing rigorous benchmarks, implementing low-level profiling tools (potentially involving CUDA or specialized hardware interfaces), and collaborating with software architects to propose efficiency improvements. The ideal candidate is an expert in computer performance analysis, possesses deep knowledge of ML inference patterns, and thrives in a technically challenging environment where marginal gains yield significant results.

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