We are reshaping the manufacturing industry with advancedsoftware foradditive manufacturing (3D printing) .

Our technology translates digital 3D models into manufacturing instructions for 3D printers. For the first time, it enables the generation of fully 3D-optimized toolpaths across all types of systems from standard desktop printers to industrial robotic arms. This significantly improves part quality while reducing material usage and energy consumption.

Whether working with plastics, metals, or concrete, we enable high-quality and efficient local manufacturing.

Your role

At Layer Performance, you won’t be working on isolated features, but on a core part of our technology.

You contribute to the ongoing development of our existing software for toolpath planning in additive manufacturing (slicer)
Your focus is on further developing our slicing engine
You design and optimise algorithms that are directly used in real‑world manufacturing processes
You work across the full lifecycle, from development and deployment to the continuous improvement of existing components

What you bring

A degree in computer science, CES , or a comparable technical or scientific field
or alternatively, a completed vocational training in software development or a related field
Strong proficiency in at least one high‑level programming language such as Java, C++, or Python
Interest in innovative technologies and manufacturing processes, ideally with initial experience in 3D printing

Ideally, experience or a solid understanding in at least one of the following areas:

3D geometry and spatial reasoning: working with 3D models, geometric structures, or CAD‑related topics
Software architecture: structuring software systems and understanding how components interact
Processing large datasets: efficient data handling and performance optimisation

What we offer

High degree of ownership and room to shape your work
Flexible working hours and the option to work remotely on selected days
30 days of annual leave

And most importantly:

Real results: Your algorithms are not just simulated but used in real manufacturing processes and validated on physical parts. You see immediately whether your solutions work in practice.
Exciting projects: Your work directly shapes the manufacturing processes of leading companies in automotive, sports, medical technology, and electronics.
Fast‑paced environment: Small team, short decision‑making paths

Interested?

We look forward to receiving your application via email by May 15, 2026.

If you have any questions, feel free to reach out anytime.

#J-18808-Ljbffr