AV Engineering · Driving Product
Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
🛠️ About our Driving Product Teams
The Driving Product team builds the AI driver's core behaviours, taking models from data and training through evaluation and on-road validation, then shipping them into the car on timelines measured in months, not years. The team's work has direct impact on high-priority commercial deliveries, including Nissan production and Robotaxi, and spans the full spectrum from Level 2 to Level 4 driving. It's a small, high-ownership team at a point of rapid growth, blending ML research with shipping-focused engineering.
🧠 Your day-to-day
- Develop the AI driver model architecture and training algorithms to introduce and enhance driving behaviours for L2/L3/L4
- Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning
- Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training
- Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles
🧩 What you'll be working on
- Models that predict vehicle trajectories and interact directly with controllers and actuators, closing the lo