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We are seeking an innovative C++ Developer to join our team focused on enhancing computer vision and camera tracking technology for drone detection and mitigation. In this role, you will play a key part in developing and optimizing high-performance software, contributing to cutting-edge solutions that protect airspace and bolster security. This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of technological advancements and career growth in the high-tech and defense sectors.
Job Responsibility:
Design, develop, and optimize C++ code for computer vision and camera tracking systems
Build and enhance video streaming pipelines and camera integration across multiple sensor platforms
Implement and tune algorithms for real-time performance on Linux-based edge systems
Collaborate closely with hardware, AI, and sensor fusion teams to deliver robust, field-ready solutions
Process video streams and API data in resource constrained environments
Contribute to the architecture and design of new tracking, streaming, and synchronization features
Troubleshoot and debug complex software issues, from low-level performance to system integration
Stay current with advances in C++ standards, parallel computing, and GPU/CUDA technologies to keep Dedrone’s systems at the cutting edge
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field — or equivalent experience
Strong C++ programming skills (modern C++ preferred: C++14/17/20)
Solid experience with multithreading and parallel processing
Hands-on experience with video streaming, and ideally camera integration, or camera control APIs
Knowledge of performance-oriented programming and optimization in constrained environments
Strong background in Linux development and debugging
Excellent analytical, problem-solving, and communication skills
A collaborative mindset and desire to build technology that protects people and infrastructure
Nice to have:
Familiarity with CUDA, GPU acceleration, or high-performance computing a plus