TL;DR

Senior C++ Computer Vision Engineer (AI): Building and optimizing cutting-edge Edge AI and Computer Vision products for multi-national customers with an accent on modern C++ concepts, performance, and scalability. Focus on improving CI/CD, hardware utilization, and developing new features for production environments.

Location: Hybrid in Berlin, Germany (3 days in-office, 2 days remote) with remote options after the first year.

Company

%hirify_global% is a fast-growing Berlin-based AI company focused on becoming a worldwide leader in Edge AI and Computer Vision, operating as a wholly owned subsidiary of GK Software.

What you will do

Apply modern C++ (C++20) concepts and architecture for scalability and extensibility.
Maintain and extend communication standards between products and various retail POS solutions.
Optimize hardware utilization on different platforms.
Improve CI and deployment pipelines.
Enhance tests, test coverage, and static code checks.
Help prototype and develop new features and products.

Requirements

In-depth experience in C++ modern coding concepts, threading, and memory management.
Solid baseline in Computer Vision/image processing or efficient ML inference.
Good understanding of CMake or comparable build tools.
Familiarity with professional software development tools & concepts (git, Agile development, containerization, CI/CD).
Comfortable in a hybrid setup (3 days office / 2 days remote).
English: B2 required.

Nice to have

Kubernetes/Docker/Containerization.
ML inference engines like PyTorch, ONNX, TensorRT.
Conan or similar package managers.
C++ unit testing / TDD.
Python based prototyping.
Networking protocols like HTTP, MQTT.

Culture & Benefits

Opportunity to build cutting-edge AI/Computer Vision products that scale.
Join a world-class engineering team (ex-Facebook, ex-Amazon, Cambridge, ex-Qualcomm, ex-ASML).
Culture that values impact over politics: flat, international, fast-moving, and respectful.
Long-term stability as a subsidiary of GK Software.
Berlin-first culture with hybrid flexibility and remote options after the first year.