Demo

Engineering Manager, Model Compiler

Wayve
Sunnyvale, CA Full Time
POSTED ON 2/1/2025
AVAILABLE BEFORE 3/31/2025

The role 

As the Engineering Manager for the ML Compiler team, you will lead the team responsible for compiling our driving model to run on various embedded GPUs and accelerators. Occupying a critical junction between machine learning and embedded systems, success in this role will directly contribute to Wayve’s ability to deploy models at scale into customer vehicles. In this role, you and your team will enable model inference on various embedded GPUs and accelerators, such as Nvidia, Qualcomm, Renesas and others.

Key responsibilities:

  • You will manage a multi-disciplinary team of ML compiler and GPU kernel engineers, setting clear objectives and milestones
  • Efficiently allocate resource and technical infrastructure to achieve programme objectives
  • Build and grow your team as needed to support business objectives as we increase the scale of our deployments
  • You will have opportunities to develop new skills, especially in model optimisation

About you  

In order to set you up for success as an Engineering Manager in ML Compilation at Wayve, we’re looking for the following skills and experience.  

Essential 

  • Proven experience as an Engineer Manager delivering complex engineering projects
  • Experience developing ML compilers and/or GPU kernels (e.g. TensorRT, MLIR, TVM, CUDA, OpenCL, etc)
  • Excellent interpersonal and communication skills

Desirable 

  • Experience with C , Python 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

This is a full-time role based in our office in Sunnyvale.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team.  

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