Senior Frontend Engineer. WebGPU, 3D Visualization

Ukraine · 5 years of experience · English - B2 · Machine Learning / Big Data

We are looking for a senior frontend engineer to build high-performance 3D scientific visualization directly in the browser. You will work at the intersection of frontend engineering, GPU programming, and large-scale data visualization. The core challenge is making complex 3D and time-varying datasets interactive in the browser without requiring users to download or fully load them first. What you will do Build browser-based 3D visualization using TypeScript and WebGPU. Render large meshes, point clouds,...

We are looking for a senior frontend engineer to build high-performance 3D scientific visualization directly in the browser.

You will work at the intersection of frontend engineering, GPU programming, and large-scale data visualization. The core challenge is making complex 3D and time-varying datasets interactive in the browser without requiring users to download or fully load them first.

What you will do

Build browser-based 3D visualization using TypeScript and WebGPU.
Render large meshes, point clouds, volumetric fields, and other scientific data.
Integrate visualization with asynchronous and random-access data streaming.
Design efficient GPU buffer management, caching, and incremental scene updates.
Build React-based UI around the visualization experience.
Profile and optimize CPU, GPU, memory, and network performance.
Work closely with systems, backend, and GPU engineers on end-to-end data delivery.

What we are looking for

Strong production experience with TypeScript / JavaScript.
Practical experience with WebGPU, or deep WebGL experience with an interest in moving to WebGPU.
Strong understanding of performance optimization in browser applications.
Experience with React or another modern frontend framework.
Good knowledge of vector math, coordinate systems, cameras, transforms, and spatial data structures.

Nice to have

Experience with Three.js, Babylon.js, vtk.js, React Three Fiber, or custom rendering engines.
WGSL, GLSL, CUDA, Vulkan, DirectX, or Metal experience.
Scientific visualization experience with ParaView, VTK, VisIt, or similar tools.
Volume rendering, isosurfaces, unstructured meshes, point clouds, particles, or large geometry.
LOD systems, spatial partitioning, octrees, BVHs, or GPU-driven rendering.
Background in CAD, simulation, geospatial, medical imaging, games, or visualization software.

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419 views · 99 applications · 12d

Senior Backend Engineer. High-Performance Data Streaming

Zibra AI

$$$$

Ukraine · 5 years of experience · English - B2 · Machine Learning / Big Data

We are looking for a senior backend engineer to build a high-performance service for streaming large datasets. This is not a conventional CRUD backend role. You will work on persistent HTTP/3 connections, asynchronous I/O, object-storage range reads, binary data transfer, authentication, request scheduling, etc. What you will do Design and build the data-streaming service in Python. Implement HTTP/3 and QUIC-based client-server communication. Integrate with S3-compatible object storage. Build request...

We are looking for a senior backend engineer to build a high-performance service for streaming large datasets.

This is not a conventional CRUD backend role. You will work on persistent HTTP/3 connections, asynchronous I/O, object-storage range reads, binary data transfer, authentication, request scheduling, etc.

What you will do

Design and build the data-streaming service in Python.
Implement HTTP/3 and QUIC-based client-server communication.
Integrate with S3-compatible object storage.
Build request prioritisation, cancellation, retries, caching, and backpressure.
Implement token-based authentication and fine-grained access control.
Integrate Python services with native libraries and binary data formats.
Add metrics, tracing, load testing, and failure recovery.
Work closely with desktop visualisation and Python/ML client teams.
Benchmark streaming performance against download-first workflows.

What we are looking for

Strong production experience with Python.
Experience with asynchronous Python, task scheduling, and concurrent I/O.
Experience building high-throughput or low-latency backend systems.
Good understanding of networking, HTTP, TLS, and binary protocols.
Practical knowledge of S3, MinIO, Ceph, or similar object storage.
Experience with streaming I/O, byte-range reads, caching, and memory management.
Strong performance-profiling and debugging skills.
Ability to design stable interfaces between independently developed systems.

Nice to have

Production experience with C++.
Experience with HTTP/3, QUIC, WebTransport, or high-performance RPC.
Background in distributed storage, CDNs, databases, filesystems, or media streaming.
Familiarity with scientific visualisation, HPC, simulation, or large multidimensional datasets.
Experience with CUDA or GPU data pipelines.
Experience with OAuth, OIDC, JWT, and capability-based access.
Knowledge of Kubernetes and OpenTelemetry.

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214 views · 61 applications · 12d

Senior C++ Backend Engineer. High-Performance Data Streaming

Zibra AI

$$$$

Ukraine · 5 years of experience · English - B2 · Machine Learning / Big Data

We are looking for a senior C++ engineer to build a high-performance service for streaming large scientific and engineering datasets. This is not a conventional CRUD backend role. You will work on asynchronous networking, HTTP/3 and QUIC, object-storage range reads, binary data transfer, native library integration, request scheduling, and bounded-memory data pipelines. What you will do Design and implement the data-streaming service in modern C++. Build persistent HTTP/3 and QUIC-based client-server...

We are looking for a senior C++ engineer to build a high-performance service for streaming large scientific and engineering datasets.

This is not a conventional CRUD backend role. You will work on asynchronous networking, HTTP/3 and QUIC, object-storage range reads, binary data transfer, native library integration, request scheduling, and bounded-memory data pipelines.

What you will do

Design and implement the data-streaming service in modern C++.
Build persistent HTTP/3 and QUIC-based client-server communication.
Stream selected regions of large datasets without downloading complete files.
Integrate with S3-compatible object storage and native data-processing libraries.
Implement asynchronous request scheduling, prioritisation, cancellation, retries, caching, and backpressure.
Design stable binary and JSON interfaces between independently developed components.
Implement token-based authentication and fine-grained access control.
Optimise memory allocation, copying, concurrency, and end-to-end throughput.
Add metrics, tracing, load testing, and failure recovery.
Collaborate with visualisation, machine-learning, backend, and systems engineers.

What we are looking for

Strong production experience with modern C++17/20.
Experience building high-throughput, low-latency, or data-intensive systems.
Strong understanding of asynchronous and concurrent programming.
Good knowledge of networking, HTTP, TLS, and binary protocols.
Experience with streaming I/O, byte-range access, buffering, caching, and memory management.
Practical knowledge of S3, MinIO, Ceph, or similar object-storage systems.
Strong debugging, profiling, and performance-optimisation skills.
Experience designing reliable APIs and component boundaries.
Familiarity with Linux systems programming and production service operation.

Nice to have

Experience with HTTP/3, QUIC, WebTransport, or high-performance RPC.
Experience with zero-copy or low-copy data paths.
Experience integrating C++ libraries with Python
Familiarity with CUDA or GPU-oriented data pipelines.
Background in distributed storage, databases, CDNs, filesystems, media streaming, HPC, or scientific visualisation.
Experience with OAuth, OIDC, JWT, and capability-based access.
Knowledge of Kubernetes and OpenTelemetry.

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122 views · 12 applications · 12d