Become an integral part of Wayve as a GPU Kernel Engineer, specializing in enhancing AI model performance for autonomous vehicles. Utilize your knowledge of GPU architecture in a hybrid work environment.Located in London, Wayve is searching for a skilled Embedded Kernel Engineer with over five years of experience in GPU development. This full time position focuses on optimizing embedded GPU environments, working closely with machine learning engineers to advance inference capabilities. Your proficiency in C++ and familiarity with tools like TensorRT will help drive significant advancements in AI model efficiency.Key Responsibilities:Lead efforts in optimizing hardware utilization for AI modelsInnovate low precision solutions with minimal accuracy lossEstablish yourself as an authority on GPU architectureDesign processes for model conversion from PyTorch to native formatsRequirements:At least 5 years of GPU kernel development experienceMastery of advanced C++ programming techniquesExtensive knowledge of CUDA and TensorRTDeep understanding of GPU design principlesMaster's degree and corresponding research backgroundUtilize your advanced GPU skills to push the limits of autonomous driving innovation at Wayve.#J-18808-Ljbffr

📌 Wayve Gpu Kernel Engineer For Ai Models (Vancouver)
🏢 Wayve
📍 Vancouver