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 setting.

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 models • Innovate low precision solutions with minimal accuracy loss • Establish yourself as an authority on GPU architecture • Design processes for model conversion from PyTorch to native formats

Requirements: • At least 5 years of GPU kernel development experience • Mastery of advanced C++ programming techniques • Extensive knowledge of CUDA and TensorRT • Deep understanding of GPU design principles • Master’s degree and corresponding research background

Utilize your advanced GPU skills to push the limits of autonomous driving innovation at Wayve. #J-18808-Ljbffr

📌 Wayve GPU Kernel Engineer for AI Models (Winnipeg)
🏢 Wayve
📍 Winnipeg