Description
We are seeking a Senior Applied Scientist to join our Robotics Simulation (AR R&D) team developing simulation environments and foundational models for robotics. You will lead the development of 3D physics-based simulation environments and tools to automate reusable sim asset creation for training large-scale machine learning models.

Key job responsibilities
- Mentor a team of scientists on Robotic Simulation best practices
- Establish processes for developing simulations for reinforcement learning, closed-loop simulations and synthetic data generation
- Create frameworks for incorporating essential robotics features, including accurate modeling of sensors, actuators, and controllers into simulations
- Build real-to-sim workflows for dynamic environments and robotics tasks
- Direct the implementation of simulation features to minimize sim-to-real gaps through domain randomization and system identification
- Create asset tool chains supporting in...