Sr. SDE, Simulation, Frontier AI Robotics

Job 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 advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational…