Description
We are seeking a Simulation Engineer to join our AI robotics research team developing foundation models for robotics. You will rapidly develop 3D physics-based simulation frameworks and tools alongside scientists to enable training large-scale machine learning models.

Key job responsibilities
* Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
* Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
* Build real-to-sim workflows for dynamic environments and robotics tasks
* Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
* Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
* Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines

About the team
At Frontier AI & Robotics (FAR), we're not just adva...