Senior Physical AI Engineer는 차세대 자율주행을 위한 End-to-End(E2E) Planning Model과 모델의 학습·검증을 위한 Closed-loop Simulation 환경 및 파이프라인의 설계·개발을 주도합니다.
Trajectory Generation과 Decision-making을 수행하는 E2E Planning Model부터 Closed-loop Simulation까지, 실제 차량의 주행 성능으로 이어지는 핵심 기술을 개발합니다. Generative AI, Imitation Learning, Reinforcement Learning, 3D 환경 재구성 및 물리 기반 Simulation 등 다양한 기술을 활용하여 모델과 가상 환경을 함께 발전시키고 Sim-to-Real Gap을 줄입니다.
E2E Planning Model의 설계·개발부터 Closed-loop Simulation 검증과 실차 실험, 결과 기반 모델 개선까지 전체 개발 사이클을 주도합니다. Simulation과 실차 간 성능 차이를 줄이고, 기술적 의사결정과 리뷰를 통해 차세대 Autonomous Driving System 개발을 이끕니다.
The Senior Physical AI Engineer leads the design and development of end-to-end (E2E) planning models for next-generation autonomous driving, as well as closed-loop simulation environments and pipelines for training and validating them.
You will work across E2E planning models for trajectory generation and decision-making, closed-loop simulation, generative AI, imitation learning, reinforcement learning, 3D environment reconstruction, and physics-based simulation. You will help bridge the gap between virtual environments and real-world driving performance.
You will lead the full development cycle—from designing and developing E2E planning models to validating them in closed-loop simulation and real-vehicle experiments and improving them based on the results. You will reduce performance gaps between simulation and real vehicles and drive next-generation autonomous driving systems through technical decision-making and reviews.