Research Intern: Closed-Loop E2E Driving & Planning

Honda Ri; Mountain View (CA); Presencial; USD 55.000 - 83.000; Jornada completa

Descripción de la vacante

Honda Research Institute USA in Mountain View is offering a research internship focused on improving closed-loop planning for autonomous driving. The role targets Ph.D.

students with strong publications in deep learning and planning, to explore policy learning, trajectory generation, and evaluation on modern simulators. The internship emphasizes collaboration with full-time researchers, writing up results, and contributing to open publications and patents.

Formación

• Currently enrolled in a Ph.D. program in Robotics, Computer Science, Electrical Engineering, or a related field.
• Solid foundation in deep learning and strong proficiency in Python and PyTorch.
• Understanding of motion planning and/or policy learning fundamentals (imitation learning, reinforcement learning, or trajectory optimization).
• Experience training and debugging neural networks at scale.

Responsabilidades

• Research and develop planning modules for E2E driving models, including trajectory scoring/selection and multimodal planning heads.
• Design closed-loop training strategies to mitigate distribution shift and errors.
• Build and run evaluation pipelines on NAVSIM, Bench2Drive, CARLA Leaderboard, or nuPlan; analyze failures.
• Collaborate with researchers; present findings and contribute to publications/patents.

Conocimientos

Deep learning

PyTorch

Python

Reinforcement learning

Motion planning

Educación

PhD candidate in Robotics/CS/EE

Herramientas

CUDA

CARLA

Descripción del empleo

Honda Research Institute USA in Mountain View is offering a research internship focused on improving closed-loop planning for autonomous driving. The role targets Ph.D.

students with strong publications in deep learning and planning, to explore policy learning, trajectory generation, and evaluation on modern simulators. The internship emphasizes collaboration with full-time researchers, writing up results, and contributing to open publications and patents.