HERE Technologies sits at a unique intersection: we own some of the world's most detailed map and drive data, and we are building generative AI capabilities to turn that spatial intelligence into controllable, high-quality synthetic driving worlds.

We are looking for a hybrid profile — someone who combines deep learning expertise in world foundation models, generative video, and transformers with hands-on AV(Autonomous Vehicle) simulation experience. This is not a pure simulation role, nor a pure ML research role. It is the bridge between the two — and that bridge is where HERE's differentiation lives.

You understand both how to train and adapt large generative models (think Cosmos, Cosmos-Transfer, diffusion-based video models, latent world models) and how to ground them in map data and scenario semantics so the output is actually useful for training and validating perception and planning stacks.

What you will do:

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.