Senior C++ Engineer — ParaView & Scientific Visualization

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 AI.

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.