We're teaching a new kind of vehicle to move through the busiest parts of a city. As an autonomy engineer, you'll shape a camera-first perception and planning stack from the ground up, turning millions of real-world miles into a system that keeps getting better.
What you'll do
Design, train and evaluate perception and planning models for a camera-first stack.
Build the data pipeline that turns every supervised mile into better driving.
Take models from notebook to vehicle, optimised to run on the edge.
Close the loop between what happens on the road and what ships next.
What we're looking for
Strong machine learning and computer vision foundations, with production experience shipping models that run in the real world.
Comfort across the stack: data, training, evaluation, and on-device inference.
A bias for getting something real on the road, then making it better.
Nice to have
Experience with autonomous vehicles, robotics, or other safety-critical systems.
Edge inference, quantisation, or model-efficiency work.
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