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Wayve

Vancouver / Global

Wayve GPU Kernel Engineer for AI Models

  • Hybrid

Job Description

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

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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