GPU Kernel Engineer, Onboard Software Platform

1 month ago


Canada, CA Testing Solutions GmbH Full time
GPU Kernel Engineer, Onboard Software PlatformWayve

Published 03 May 2024

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California, Canada

Full Time

Role Highlights

C++

CUDA

AI

Embedded

Kernel

Compilers

Deployment

Optimization

Transformation

Operations

Research

Server

Tools, Libraries and Frameworks

GPUs

Tensorrt

PyTorch

Description

As a GPU Kernel Engineer at Wayve, the individual's primary role is to develop model compilers and craft high-performance kernels to enhance inference performance on GPU architectures for autonomous vehicle AI models. They will work closely with machine learning engineers to utilize hardware capabilities optimally and innovate in transforming AI models to low precision implementations. Essential tasks include creating processes for converting AI models from PyTorch to platform-specific programs and leading efforts to discover optimal model compilation strategies to maximize hardware utilization. The engineer will employ tools like CUDA and TensorRT within embedded environments for these purposes.

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch

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