Description:
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.
What You’ll Do Location: Onsite in our office in Sterling, VA four days per week
- 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.
What You Bring
- 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.
- Familiarity with CUDA, GPU acceleration, or high-performance computing a plus.
- 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.