AI for Engineering
We are building AI that changes how infrastructure is planned, designed and engineered.
Our starting point is simple: reality is stochastic, but engineering answers have traditionally been deterministic. That is one reason infrastructure is expensive.
Ground conditions, weather, loads, traffic, demand and prices are distributions. Treating them as single numbers does not remove uncertainty — it hides it. Historically, engineering has compensated by adding conservative margins and designing around worst-case assumptions.
We believe there is a better way.
By combining AI, simulation, optimisation and engineering expertise, we can expose the uncertainty that is already there and engineer against it. Instead of simply adding material to be safe, we can optimise designs against an explicit level of confidence.
We can explore dozens or hundreds of compliant solutions rather than two or three. We can make cost, carbon, performance and risk visible from the beginning of a project. And instead of disciplines working sequentially in a relay race, we can increasingly allow them to design concurrently against one live model.
The ambition is significant: better engineering decisions, dramatically faster design cycles, lower cost and materially more efficient infrastructure.
For our clients, that means lower cost and greater cost certainty; more design options earlier; explicit visibility of risk and confidence at every milestone; and the potential to remove 10–20% of material — and potentially cost — from a design while maintaining engineered confidence.
Transportation
Transportation is one of the most exciting areas for this approach.
Traffic, demand, network behaviour, construction constraints, land, cost and environmental conditions are inherently variable. AI gives us the opportunity to reason across those variables at a scale that would be impossible manually — and to help engineers and planners evaluate far more alternatives, much earlier.
As an AI Product Manager you will decide where that capability creates the most value for our clients and turn it into products that can be used on real projects. This is not a role focused on adding AI to existing workflows for the sake of it. We build what is useful to our clients and to the world.
You will work at the intersection of transportation engineering, AI, optimisation, data science and software engineering, leading a small, highly technical team from problem definition through to deployed product.
What You’ll Do
You will own the direction and delivery of AI products for transportation, working closely with engineers, planners, ML/RL researchers and software engineers.
You will:
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