Jonas Weber

About

Jonas Weber is a systems researcher working on efficient distributed training and ML compilers. His prior contributions include work on JAX and XLA at Google AI, and he now advises teams on training-time optimization and accelerator-aware kernel design.

Education & Background

• •M.S. in Computer Science, ETH Zürich

Active RFPs

• Compiler-level sparsity for MoE training →