Staff Software Engineer
NavVis
Staff Software Engineer
NavVis
Delivers enterprise spatial twins via scans
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.
As our Staff Software Engineer for web-based computer graphics, you will own how NavVis IVION renders reality. You will work with billions of points, 3D Gaussian Splats, meshes, and panoramic imagery, streamed on demand and rendered as interactive 3D scenes in the browser. Your ownership will span the entire rendering layer, from Three.js, WebGL, shaders, and level-of-detail strategies to GPU memory management, data formats, and efficient streaming.
You will join our IVION Data Foundation team, working alongside engineers across data processing, backend services, and frontend development. Together, you will make rendering faster, more scalable, and visually richer, ensuring smooth performance across different hardware environments. Beyond optimizing our existing renderer, you will shape its future architecture, influence data formats, and define performance standards. This role combines real-time computer graphics, large-scale spatial data, and web engineering, with significant ownership and room to set technical direction.
Own and improve browser-based 3D rendering in NavVis IVION, working with Three.js, WebGL, shaders, and rendering pipelines for point clouds, 3D Gaussian splats, meshes, and panoramic imagery
Optimize rendering performance and visual quality through advanced occlusion culling, adaptive refinement, level-of-detail strategies, and efficient GPU memory management
Deliver reliable rendering across different hardware environments, from high-end workstations to laptops with integrated GPUs and restricted corporate browsers
Improve data streaming and rendering efficiency by contributing to spatial indexing, tiling, compression, caching, and progressive loading strategies
Collaborate across the technology stack to optimize interfaces between C++ data processing, Java backend services, storage, and frontend rendering
Shape the evolution of our rendering architecture, evaluating WebGPU, compute shaders, and modern graphics techniques to improve performance and scalability
A Master's or PhD in Computer Science (equivalent practical experience is equally valued)
Several years of professional software engineering experience with a focus on computer graphics
Strong experience in real-time 3D graphics for the web, particularly with WebGL2, Three.js, GLSL shaders, and custom rendering pipelines
Solid knowledge of 3D mathematics and spatial algorithms, including coordinate systems, transformations, projections, spatial data structures (octrees, BVHs, KD-trees), level-of-detail, and culling techniques
Experience rendering and streaming large-scale 3D datasets, such as point clouds, meshes, or 3D Gaussian Splats, including spatial indexing, tiling, caching, and memory management
Strong performance optimization skills across GPU, CPU, and networking, using profiling, benchmarking, and systematic analysis to identify and resolve bottlenecks
Proficiency in TypeScript, with experience developing and maintaining complex, performance-critical web applications
Nice to Have
Hands-on experience with WebGPU, WGSL, or compute shaders
Experience with C++, Rust, WebAssembly, or native graphics APIs such as Vulkan, Metal, or DirectX
Experience with Angular, Java, or Spring Boot and working across frontend and backend systems
Familiarity with reality capture, photogrammetry, SLAM, BIM, geospatial applications, or radiance field techniques, including 3D Gaussian Splats
Your recruiting partner for this role is Lenka (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.
NavVis’ unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.
Together with you, we build NavVis!
If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.
NavVis creates and shares spatial data of built environments. It combines survey-grade mobile reality capture hardware (VLX/MLX laser scanners) with NavVis IVION, an enterprise cloud platform, to turn factories, plants and buildings into up-to-date, shareable spatial twins for engineering, maintenance and construction teams. The scanners use SLAM to map spaces, and the cloud platform stores, processes and distributes the data for collaboration, analytics and workflows. NavVis differentiates itself through its end-to-end approach: high-precision mobile scanning paired with a scalable cloud platform, strong enterprise partnerships (SAP, NVIDIA, Autodesk) and a global customer base across automotive, energy and manufacturing. Its goal is to scale its spatial data engine, advance its AI-powered product roadmap, and expand its presence in the U.S. market.
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