Engineering teams repeatedly need to run DOE, test process changes, analyze complex manufacturing data, and turn results into actionable improvements. The signals show this work happening across semiconductor, additive manufacturing, product quality, autonomy testing, and data science roles, suggesting the workflow is common but operationally demanding.