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.

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