Research Engineer, Foundation Models for Simulation
As a Research Engineer in Foundation Models for Simulation at Waymo, you will join a world-class team to advance the state-of-the-art in ultra-realistic autonomous vehicle simulations using foundation models. You will design experiments, develop realism metrics, and integrate large models into simulation and downstream applications. This role requires collaboration with other Waymo teams and a strong background in deep learning and machine learning techniques.
The Simulator team at Waymo builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We leverage machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to.
We are planning to set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems.
In this hybrid role, you will report to an Engineering Director.
Posted June 11, 2026