Is emmtrix only interesting for compiler developers?

No. Compiler expertise is central to our work, but we also work across embedded systems, static analysis, performance estimation, vectorization, AI/ML deployment and software tooling. Different backgrounds can be relevant.

Do I need embedded AI experience before joining?

Not necessarily. What matters more is the willingness to understand technical systems deeply and work through complex topics carefully.

Is emmtrix relevant for working students and thesis topics in Karlsruhe?

Yes. Students have worked on practical and research-related software topics at emmtrix, often close to KIT and real engineering use cases. For people who want to connect theory with practical software development, this can be a strong fit.

Are there opportunities at emmtrix outside software engineering?

Yes. Product, marketing, sales, operations and backoffice roles can also be a strong fit, especially for people who want to work close to technical substance rather than in a generic software environment.

What makes emmtrix different from other software employers in Karlsruhe?

emmtrix works in a specialized field: software tools for embedded systems, compiler technology, code transformation, performance optimization, AURIX™ TC4x PPU workflows and embedded AI. For people who want to work below the surface of software, that makes the environment different from many standard software roles.

New One-Page Overview: emmtrix Edge AI Compiler

June 03, 2026

What happens between ONNX and target-aware C code?

We have summarized the emmtrix Edge AI Compiler workflow in a compact one-page overview.

It shows how AI models are transformed for embedded deployment through:

code simplification
loop optimization
memory-access optimization
target-aware code generation

The generated C code can support SIMD instructions or similar hardware accelerators, depending on the target architecture.

Download the overview

From Model to Target-Aware C Code. The emmtrix Edge AI Compiler Workflow.