Computer Vision Engineer - CUDA

Job Title - Computer Vision Engineer Experience - 4 Yr Location - Remote Primary Skills - Skills in image detection, segmentation, and triangulation, Proficiency in CUDA and understanding of various algorithms and application architecture Educational Criteria - Any Technical NP - 0-7 days Key Responsibilities : - Design and develop high-performance, low-latency C++ applications for real-time image/video processing. - Optimize CV algorithms for speed, memory efficiency, and hardware acceleration. - Utilize multithreading, SIMD, and GPU acceleration (CUDA/OpenCL) to enhance performance. - Implement real-time data streaming and processing pipelines with minimal latency. - Work with GPU, vectorization, and parallel computing techniques for acceleration. - Ensure code efficiency with profiling, benchmarking, and performance tuning tools. - Collaborate with ML engineers for deep learning model inference optimization. - Develop robust, scalable, and maintainable C++ codebases using modern C++ standards (C++14/17/20). - Implement best practices for unit testing, CI/CD, and software integration. (ref:hirist.tech)

Location: in, IN

Posted Date: 4/17/2025