Thiax is building a measurement technology so radically new that entire industries like aerospace, polymers, automotive, recycling can finally verify material quality in ways that were physically impossible before.
As our first software engineer, you’ll build the entire software architecture from scratch. No legacy. No bureaucracy. Just you shape the core of a product that will redefine how the world designs, tests, and certifies materials.
Who we are
Thiax is a Danish deep-tech startup building a completely new measurement technology using 3D X-ray diffraction analysis and advanced mathematical modelling. Today, many of the world’s most advanced materials can only be tested destructively or through indirect estimates and Thiax changes that.
We deliver a precision measurement unit that can analyze internal molecular and structural composition in real time, even directly inside production environments like robotic or automated manufacturing lines. The technology enables manufacturers to quality-assure thermoplastic composites, next-generation lightweight materials, and recycled polymers with a level of accuracy that was previously impossible.
By making the “inside” of materials measurable, we help unlock safer, lighter, and greener components for aviation and high-performance manufacturing, while scaling seamlessly across industries that together produce hundreds of millions of tons of critical materials every year.
What you will be doing
You will be the software backbone of Thiax. Your work will define the product, how data is processed, controlled, visualized, integrated, and verified.
Your responsibilities will include:
- Designing and building Thiax’ software architecture from scratch
- Developing core framework for X-ray data processing + mathematical modelling
- Implementing machine control logic (robot arms, measurement units, hardware integration)
- Creating robust, scalable pipelines for real-time data processing
- Laying the foundation for a small future SW team
What we imagine you bring
We’re looking for someone senior enough to make technical decisions with confidence, but still hands-on and energized by building things from the ground up.
You likely bring:
- Solid experience with C/C++ and/or Python (and opinions on when to use what)
- Background in physics, mathematics, signal processing, 3D scanning, X-ray analysis or strong affinity for it
- Experience building software for hardware-heavy products (robotics, sensors, imaging, measurement systems)
- Ability to handle both machine control + mathematical / data processing layers
- A startup-friendly mindset: pragmatic, curious, comfortable with ambiguity, allergic to corporate bureaucracy
- Desire to build something foundational.
