Job Description
Where you will have an impact
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. Your deep understanding of GPU architecture, from memory management to the intricacies of GPU cores, will be pivotal. Utilizing tools like TensorRT and model compilers, you will push the boundaries of what's possible in inference performance in the embedded environment.
Challenges you will own
- Optimization Leadership: Lead efforts to discover the optimal model compilation strategies that harmonize compute intensity, caching,...
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