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Engineering Manager, GPU Kernel

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Wayve

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As the Engineering Manager for the GPU Kernel team, you’ll lead the team responsible for writing custom kernels and libraries which enable our transformer-based driving models to run efficiently on embedded GPUs and accelerators. This team works closely with ML engineers, software engineers and researchers to deploy end-to-end AI for autonomous vehicles at scale. This is an exciting opportunity to lead in several high impact, early stage projects at Wayve with the ultimate goal of enabling product deployments onto millions of customer vehicles around the world.

Job Responsibility:

  • Lead a multi-disciplinary team of ML GPU kernel engineers to enable efficient ML deployments across millions of customer vehicles
  • Set key foundational strategy on deployment frameworks, compilers, toolchains and SoCs
  • Set clear objectives and priorities, and allocate resource efficiently
  • Have opportunities to develop new skills, especially within end-to-end ML and inference optimisation

Requirements:

  • Proven experience as an Engineering Manager delivering complex engineering projects
  • Experience developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT, MLIR, TVM, etc)
  • Experience optimising systems to meet strict utilisation and latency requirements
  • Excellent interpersonal and communication skills

Nice to have:

  • Experience with C++ and ML frameworks such as PyTorch
  • Experience with ML deployment pipelines
  • Experience with embedded SoCs used in automotive environments, e.g. Nvidia, Qualcomm, Renesas, etc

Additional Information:

Job Posted:
January 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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