Key Responsibilities · Performance Optimization: Profile and optimize existing C/C++ and CUDA code to achieve real-time performance for a comprehensive software ISP pipeline. · CUDA Implementation: Translate complex image processing algorithms into highly parallelized CUDA kernels, optimizing memory access and execution configurations. · Rapid Prototyping: Utilize Python scripting to develop and validate Proof of Concepts (PoCs) for quick algorithm evaluation. · Code Quality: Deliver clean, maintainable, and well-documented C/C++ and CUDA code.

Required Qualifications · Experience: 5+ years of hands-on experience in CUDA optimization targeting NVIDIA server-range or desktop-range GPUs. · Programming: 5+ years of strong coding experience in C/C++, plus proficiency in Python scripting (and libraries like scipy, numpy, matplotlib) for PoCs. · GPU Architecture: Deep understanding of NVIDIA GPU architectures, execution models, and profiling tools (Nsight Systems/Compute, nvprof). · Libraries: Solid knowledge of OpenCV, specifically working with and integrating its CUDA-optimized modules.

Qualifications: B.Tech/MTech

📌 Performance Optimization (Bengaluru)
🏢 HighPoints Technologies India Private
📍 Bengaluru