As an Embedded Kernel Engineer within our dynamic team, you'll be instrumental in deploying Wayve's autonomous vehicle (AV) AI model across consumer vehicles.

Your role is crucial in developing model compilers and crafting high-performance kernels for efficient inferencing on embedded GPU environments. Through close collaboration with machine learning engineers, you'll pinpoint opportunities to amplify inference performance by optimally utilizing the hardware capabilities of various deployment platforms. Utilizing tools like TensorRT and model compilers, you will push the boundaries of what's possible in inference performance in the embedded environment.

Precision Transformation: Innovate in transforming large AI models to low precision implementations, ensuring minimal accuracy loss

Model Compilation Process Creation: Design and implement the process to convert AI models from a PyTorch framework to native platform-specific programs, enhancing model efficiency and performance

Advanced C++ Skills: Proficiency in C++ programming, with a demonstrated history of developing efficient, high-quality code.

GPU Programming Tools Proficiency: Extensive experience with GPU programming using tools like CUDA and TensorRT, specifically within embedded environments.

A thorough understanding of GPU design and operations,



including familiarity with AI accelerators.

Educational Qualifications: A Master's degree in a relevant field, supplemented by research experience.

A energetic and fast-paced work setting in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day

Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief #

📌 ENGINEER Full-time (Vancouver)
🏢 Wayve
📍 Vancouver