Overview

As the Engineering Manager for the ML Optimisation team, you will lead the team responsible for optimising the Driving Model to run efficiently in millions of vehicles with consumer-grade GPUs and accelerators. The focus is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product using methods such as distillation, efficient architectures, pruning, quantisation, and other techniques. This role offers the opportunity to lead high-impact, early-stage projects with the goal of enabling product deployments onto millions of customer vehicles worldwide.

Key Responsibilities

• You will lead a team of MLEs, breaking down large milestones into objectives that can be delivered by yourself and the team.
• Collaborate with tech leads to form the roadmap and execute against it.
• You’ll collaborate closely with other model developers and scientists across the business to drive innovation and delivery.
• You’ll have the opportunity to develop new skills and experience.

Essential

• 2+ years managing a team of MLEs (3-10 people)
• Experience working on optimisation problems with hard latency and/or resource constraints
• Strong engineering background
• Proficiency with PyTorch
• Excellent interpersonal and communication skills

Desirable

• Experience with ML on edge, e.g. automotive, drones, AR/VR, IoT, etc
• Experience with any of the following: quantisation, distillation, pruning, sparsity methods, NAS, efficient architectures, etc
• Experience with Nvidia and Qualcomm SoCs and frameworks are valuable, but not required

Location and Working Arrangements

This is a full-time role based in our office in London. We operate a hybrid working policy that combines time in the office with time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

Notes

We understand that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development