Autonomy Simulation Engineer

The role is responsible for the design and development of the simulation architecture for mine autonomous driving systems, covering backend control system simulation, autonomous vehicle simulation, subsystem simulation, and simulation and testing of autonomous driving algorithms. The goal is to achieve efficient verification and iteration in a virtual environment, reduce on-site testing risks, and improve development efficiency. Key responsibilities include building a simulation platform for multi-vehicle, multi-scenario collaborative testing, simulating backend logic, developing vehicle dynamics and sensor models, simulating core algorithms like path planning and obstacle avoidance, and developing test scenarios. Experience with simulation systems (CARLA/AirSim/Isaac Sim), ROS, C++, Python, and multi-agent simulation frameworks is required. Familiarity with machine learning/deep learning, especially data-driven or reinforcement learning methods in simulation, is a plus.