Embedded GPU Kernel Engineer at Wayve

Enhance AI capabilities at Wayve as an Embedded Kernel Engineer. Lead efforts in optimizing autonomous vehicle models using advanced GPU architectures while collaborating closely with machine learning engineers.

Wayve is seeking an experienced kernel engineer to join their dynamic team in London. In this full-time role, you will leverage at least five years of GPU kernel development expertise, and advanced C++ skills to refine and optimize model compilation strategies. Your knowledge of GPU architecture will be critical in enhancing inference performance for autonomous vehicles.

Key Responsibilities:
• Lead optimization strategies for GPU model compilation
• Innovate low precision transformations for large AI models
• Serve as GPU architecture authority for NVIDIA and Qualcomm platforms
• Design the model conversion process from PyTorch to native programs

Requirements:
• Minimum 5 years in GPU kernel development
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