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 settings, 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.

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