Software Quality Engineer

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

As a Senior Software Quality Engineer, you will shape how quality is engineered across the complex, data-intensive processing systems of NavVis IVION. Rather than acting as a final testing gate, you will build the test strategies, automation, data, observability, and feedback loops that help the team identify risks early and deliver reliable software with confidence. Your scope will cover individual processing components as well as end-to-end workflows, including advanced 3D data ingestion, processing, streaming, and web rendering. 

ABOUT THE TEAM

You will join the IVION Data Foundation team, a growing group of engineers and domain specialists responsible for the spatial-data backbone of NavVis IVION. The team transforms reality-capture data into a fast, streamable, high-fidelity spatial intelligence layer, spanning data ingestion, semantic enrichment of point clouds and images, algorithmic cleaning and fusion, and the data structures that enable efficient storage, streaming, and 3D rendering.

The team works in a hybrid model, combining remote work with dedicated in-office days each week. We value spending time together in person, especially when tackling complex or ambiguous problems. We make extensive use of agentic coding tools, such as Claude Code, to amplify our impact and accelerate development. We develop on Linux or macOS, and our production systems run on Linux.

HOW YOU WILL MAKE AN IMPACT

• Establish and evolve the team’s quality-engineering system, including test strategy, standards, tooling, data, and feedback loops, while making quality a shared responsibility across the engineering team.

• Design and build sustainable automated coverage for complex, large-scale data-processing workflows, focusing effort where it delivers the greatest reduction in risk, cost, and recurring manual work.

• Ensure robust quality across advanced 3D capabilities, from point-cloud and Gaussian Splat ingestion through processing, streaming to the final web experience.