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# C++ CUDA Engineer

- **Company:** Paris-based
- **Location:** Paris, France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Unit Testing, Boost (C++ Libraries), C++ (Programming Language), Compilers, Program Optimization, Profiling, Nvidia CUDA, Computer Graphics, Software Debugging, Software Design Patterns, Device Drivers, Eigen (C++ Library), GNU Debuggers, Protocol Buffers, Imaging Technology, Python (Programming Language), Linux Kernel, Machine Learning, Network Service, OpenGL, Qt (Software), Memory Leaks, Multithreading, Scripting, Google Test, Parallel Computation, Gpu Programming, Git, Industrial Software
- **Published:** June 23, 2026
- **Apply:** https://eu-recruit.com/jobs/c-cuda-engineer-2/

## About the Role

You would thrive in this role if you have:

 * Strong problem-solving and mathematical skills.
 * Excellent C++ development experience (C++17/20).
 * GPU programming and parallel computing expertise (CUDA, CuBlas, CuSparse, CuTLASS).
 * Solid understanding of design patterns, multi-threading, modern compilers, and code optimization.
 * Knowledge of computer vision, computer graphics, and/or robotic control algorithms.
 * Proficiency with Git and best practices for industrial software development.
 * Familiarity with Python or other scripting languages.
 * A collaborative, entrepreneurial mindset and ability to work in a fast-paced environment.

Additional advantages include experience with:

 * Libraries such as Boost, Eigen, OpenGL, Protobuf, Qt.
 * Hardware interfacing and low-level driver development (sensors, cameras).
 * Network communication protocols and real-time Linux kernels.
 * Optical physics and industrial imaging systems.
 * Unit testing frameworks, debugging, and profiling tools (Google Test, Valgrind, Gdb, NSight).

## Description

You will collaborate closely with the team on computer vision, graphics, and robotic control modules, with responsibilities including:

 * Developing and maintaining the architecture and modules (research and production) of our robotic system.
 * Designing and implementing GPU-based image reconstruction algorithms to achieve high performance.
 * Optimizing core system modules to meet medical-grade reliability and robustness.
 * Industrializing calibration modules and low-level hardware drivers.
 * Collaborating with software and machine learning engineers to enhance system safety and accuracy.


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