| "**Tech Stack:**\n\n* C++\n* CUDA\n* OpenCL\n* Deep learning frameworks (Caffe, Theano)\n* High-performance computing (HPC) tools\n\n**Qualifications:**\n\n* Master's or PhD degree in Computer Science, Electrical Engineering, or a related field\n* Strong programming skills in C++ and experience with CUDA and OpenCL\n* Expertise in deep learning algorithms and model optimization\n* Experience in parallelizing and distributing machine learning computations on GPUs\n* Familiarity with HPC tools and techniques\n* Excellent communication and teamwork skills\n\n**Responsibilities:**\n\n* Develop and optimize deep learning algorithms for complex tasks (e.g., image recognition, natural language processing)\n* Parallelize and distribute machine learning computations on GPUs and other accelerators\n* Tune and calibrate deep learning models for maximum performance\n* Collaborate with hardware engineers to design and implement specialized AI hardware\n* Conduct research and explore cutting-edge advancements in deep learningDifficulty Level of interview is: Easy" |