Experience: 4+ years
We are looking for skilled C++ engineers to support image analysis development for the Autocentration project. The role involves developing high-performance image processing solutions, integrating system components, and supporting real-time applications in a Windows environment.
Develop and optimize image processing algorithms using C++ and OpenCV Work on GPU acceleration (CUDA) for performance-critical modules Design and implement modular, scalable software using OOP and design patterns Integrate UI components using Qt/OpenGL Implement secure communication and IPC mechanisms (TCP/IP, REST, Pub/Sub) Collaborate on system architecture, design documentation (UML) Develop and execute unit tests using GoogleTest Debug, profile, and optimize applications in a Windows environment
Strong proficiency in C++, Visual Studio, and CMake Hands-on experience with OpenCV and CUDA Experience with Qt, OpenGL, and Windows SDK Knowledge of networking protocols (TCP/IP, HTTP/HTTPS, REST) Solid understanding of OOP, UML, and design patterns Experience with unit testing frameworks (GoogleTest)
Programming: Python, QML Web: JavaScript/TypeScript, Node.js, Angular/React Databases: SQL, Redis, MongoDB Advanced imaging: VTK, ITK, segmentation, registration Machine learning: CNNs, encoder-decoder models Additional testing tools: CppUTest, Squish
4-8 years of relevant experience in C++ and image processing
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