Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles

Lead the technical vision and productization of a next-generation 3D obstacle perception stack for autonomous driving, setting architecture and roadmap while staying hands-on with deep learning models. Build and productionize perception networks using CNNs and transformer-based, multi-modal approaches for multi-camera and multi-sensor fusion. Own data strategy, KPIs, and model-in-the-loop workflows, and partner cross-functionally to meet safety, latency, and robustness requirements at deployment scale.