Software Engineer · Computer Vision · Rust/C++

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🦀 Software Engineer · Computer Vision · Rust/C++

Level: Junior–Mid

Type: Long-term hourly · Fully remote · Flexible hours

About the role

We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV.

You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities.

This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience.

What you’ll do

Improve recognition quality through data analysis and application logic

Build internal tools, scripts, and developer utilities

Refactor and optimize existing systems for performance and stability

Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure)

Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling.

We’re looking for someone with

Strong Rust, C++, or equivalent systems programming skills

Solid Linux, Git, and command-line experience

Basic understanding of ML or data analysis

Good written and spoken English

We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems.

Nice to have

OpenCV, CUDA, deep learning, or custom ML model training

Linux internals, performance optimization, or low-level debugging

Docker, networking, distributed systems, or embedded development

Strong personal or open-source projects

Why Bravora?

We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools.

Interested?

Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.

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