Autonomous Vehicle AI Engineer III - Computer Vision and Path Planning
Core
Developing AI-driven computer vision and path planning algorithms for autonomous vehicles to perceive environments and execute safe maneuvers.
Role type
Senior IC machine-learning engineer (autonomous vehicle perception and planning)
Builds
Perception and decision-making systems for autonomous vehicles
Domain
Aerospace engineering + autonomous driving
Deliverable
production ML models
Required skills
deep learning for computer vision, sensor fusion, path planning algorithms, Python, C++, PyTorch, TensorFlow
Preferred skills
reinforcement learning, simulation environments (Gazebo, NVIDIA Isaac Sim), GNC concepts, transformers, embedded systems deployment
Technologies
PyTorch, TensorFlow, Gazebo, NVIDIA Isaac Sim
Responsibilities
Develop and train ML models for object detection, classification, and semantic segmentation; implement path planning algorithms; optimize neural networks for real-time performance on flight-qualified hardware; design high-fidelity simulation environments; analyze simulation and flight test data; optimize AI models for edge and cloud deployment.
Seniority
Senior, hands-on IC
