Wayve GPU Kernel Engineer for AI Models
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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 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
- 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