# Senior C\+\+ Engineer — ParaView & Scientific Visualization - Company: [Toogeza]() - Location: Europe - Team: Development - Employment type: Full Time - Posted: September 10, 2026 ## Job description We are **toogeza**, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a **Senior C++ Engineer** for **Zibra A.** **About our client** Zibra AI is a deep-tech company building data infrastructure for spatial and physical AI. With deep expertise in 3D data compression, GPU technologies, and real-time data pipelines, the team develops technology that enables large-scale 3D datasets to be stored, streamed, visualized, and used for AI workflows more efficiently. **Product Overview** Zibra AI is building the data infrastructure layer for Physics AI — bringing streaming, random access, and GPU-native processing to massive 3D scientific datasets. Our goal is to make petabyte-scale simulation data as easy to access and work with as video is today. **Role Overview** We are looking for a senior C++ engineer to work on deep integration with **ParaView and VTK**, building custom readers, plugins, and visualization workflows for large scientific and engineering datasets. This role sits at the intersection of scientific visualization, high-performance C++, and large-scale data access. You will work on making massive remote datasets interactive inside ParaView, with a strong focus on progressive loading, random access, memory efficiency, and custom visualization tooling. ## **What you will do** * Develop and maintain **ParaView plugins and custom readers** in C++. * Integrate custom data formats and remote data sources into the VTK/ParaView pipeline. * Translate user interaction into selective data requests by field, timestep, spatial region, and resolution. * Build progressive loading and rendering workflows for datasets too large to fit fully in memory. * Implement request cancellation, caching, prefetching, and incremental scene updates. * Convert streamed data into VTK-compatible structures such as vtkUnstructuredGrid, vtkPolyData, and volumetric datasets. * Customize ParaView UI and workflows where needed for a better end-user experience. * Profile and optimize CPU, memory, network, and rendering performance. * Work with backend and GPU engineers on end-to-end data delivery. * Contribute selected generic improvements upstream to VTK/ParaView where appropriate. ## **What we are looking for** * Strong production experience with **modern C++**. * Hands-on experience with **VTK and/or ParaView**. * Good understanding of the VTK pipeline, readers, filters, data objects, and update requests. * Experience working with large 3D scientific or engineering datasets. * Strong understanding of memory management, multithreading, and performance profiling. * Experience with mesh, volumetric, point-cloud, or time-dependent data. * Ability to work in a complex mature C++ codebase and debug across multiple abstraction layers. * Comfortable working close to both product and low-level infrastructure teams. ## **Nice to have** * Experience writing ParaView server-manager XML, custom panels, or Qt-based ParaView UI extensions. * Knowledge of remote or distributed ParaView deployments. * Experience with CFD, FEA, CAE, HPC, or scientific computing. * Familiarity with Zarr, HDF5, ADIOS2, XDMF, CGNS, Exodus, or similar scientific data formats. * Experience with spatial indexing, LOD, progressive rendering, or out-of-core visualization. * CUDA, Vulkan, OpenGL, or GPU-data-pipeline experience. * Python experience for ParaView scripting and rapid prototyping. * Open-source contribution experience, particularly in VTK, ParaView, or related projects. ## Apply [Apply on Toogeza]() Canonical job page: