ML Systems Performance Engineer

Drive end-to-end ML inference performance by building kernel-level and end-to-end performance models, optimizing and debugging kernel microcode and compiler algorithms, and analyzing runtime behavior on the system and cluster. Develop tooling and infrastructure to visualize performance data from the Wafer Scale Engine and compute cluster, enabling performance projection and diagnostics for state-of-the-art and customer models.