Wayve-posted 9 months ago
Full-time • Senior
Sunnyvale, CA
251-500 employees

As the Tech Lead for the GPU Kernel team, you’ll lead the strategic direction for Wayve’s GPU kernel development. This role occupies a critical junction between machine learning and embedded systems, enabling us to deploy our transformer-based driving models efficiently onto autonomous vehicles. 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.

  • Lead a multi-disciplinary team of GPU kernel engineers, breaking down large milestones into objectives which can be delivered by yourself and the team.
  • Deliver critical roadmap milestones in enabling efficient inference on multiple target GPUs and accelerators.
  • Work closely with members of the ML and Software teams to optimise models for deployment on edge.
  • Develop new skills, especially in model optimisation.
  • Proven experience as a technical lead or senior engineer on complex engineering projects.
  • Experience developing GPU kernels (e.g. CUDA, OpenCL, etc).
  • Proficiency in C++ and ML frameworks such as PyTorch.
  • Excellent interpersonal and communication skills.
  • Ability to mentor and guide a team of engineers.
  • Experience with ML deployment pipelines.
  • Experience with embedded SoCs used in automotive environments, e.g. Nvidia, Qualcomm, Renesas, etc.
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