AI Autonomous Systems Engineer vs AI Benchmark Engineer

A AI Autonomous Systems Engineer Only

• Deep learning for perception (object detection, segmentation, depth estimation)
• Reinforcement learning and policy optimization for sequential decision-making
• Sensor fusion (LiDAR, camera, radar, IMU) with Kalman filters and transformer-based fusion
• Motion planning and trajectory optimization (A*, RRT, MPC, lattice planners)
• Robot Operating System 2 (ROS2) architecture, nodes, topics, and lifecycle management
• Simulation engineering using CARLA, Isaac Sim, Gazebo, or MuJoCo
• Safety-critical system design including fail-safe logic, redundancy, and formal verification
• Edge ML deployment with model optimization (quantization, pruning, TensorRT, ONNX)