It's not a `max_iter`: there is no max as there is no early convergence test in the randomized SVD algorithm. It's the exact number of power iterations to perform with the thin random matrix before calling a QR and then a regular svd on it:

https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/utils/extmath.py#L206