Real Time Group, LTD is looking for an experienced CUDA Developer to design, implement, and optimize GPU-accelerated software applications.

Job Responsibilities:

• Design, develop, and optimize GPU-accelerated code using CUDA/CUDA C++.
• Analyze existing software and identify opportunities for GPU acceleration.
• Collaborate with cross-functional teams (AI, software, hardware) to integrate GPU solutions.
• Write clean, maintainable, and well-documented code.
• Support deployment, testing, and troubleshooting in production environments.

Minimum Qualifications:

• 5+ years of experience with C++ programming language.
• 2+ years of hands-on experience with CUDA development.
• Experience with parallel computing, multithreading, and GPU architecture.
• Familiarity with performance profiling tools like Nsight Compute/Systems.
• Experience with Linux development environments.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience in AI/ML, scientific computing, image processing, or 3D graphics.
• Familiarity with libraries such as cuDNN, cuBLAS, TensorRT, or OpenCL.
• Experience with Python and GPU-accelerated Python frameworks (e.g., Numba, CuPy, RAPIDS).
• Knowledge of distributed computing (e.g., MPI, NCCL).
• Contributions to open-source CUDA/GPU projects.