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 workplace.
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.
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📌 Wayve GPU Kernel Engineer for AI Models (Vancouver)
🏢 Wayve
📍 Vancouver