Erstellt am 15. Juni 2026

Master Thesis: Robust AI inference within a WebAssembly Engine (Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch )

Sick AG

Waldkirch, Baden-Württemberg 79183, Germany Vollzeit

Reference: 1570876548

Master Thesis: Robust AI inference within a WebAssembly Engine

Winter Semester 2026/27 - limited to 5-6 month

YOUR TASKS

Familiarization with the basics of WebAssembly (Wasm), bytecode structures, and AI inference workloads
Analysis of WebAssembly bytecode in the context of AI inference
Investigation of the data flow of AI inference bytecode during execution in a selected Wasm engine
Identifying potential for expansion in the Wasm engine to increase robustness, fail-safety, and reliability
Designing and prototyping approaches for data flow monitoring of AI inference within a WebAssembly engine.

YOUR PROFILE

Master's degree in computer science or a comparable field of study
Good knowledge of C++ and/or Rust
Good knowledge of machine learning models and their architectures
Ideally, initial experience in compiler construction, software engineering principles, and/or system development
Interest in compiler construction, software engineering, and system software in the context of AI inference

Information at a Glance