PhD Research Intern: Closed-Loop E2E Driving

Honda Research Institute USA; Mountain View (CA); On-site; USD 35,000 - 55,000; Full time

Job summary

Honda Research Institute USA in Mountain View, CA is seeking a PhD-level research intern to advance closed-loop E2E driving, spanning policy learning, trajectory generation, and training/evaluation in a state-of-the-art simulation bench.

The internship offers hands-on experience with cutting-edge autonomous driving research, multi-GPU training, and collaboration with full-time researchers, with opportunities for publications and patents.

Qualifications

• Currently enrolled in a PhD 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.
• Ability to read, implement, and extend recent research papers independently.

Responsibilities

• Research and develop planning modules for E2E driving models, including trajectory scoring/selection and multi-modal planning heads.
• Design closed-loop training strategies to mitigate distribution shift and errors.
• Build and run closed-loop evaluation pipelines on benchmarks and analyze failures.
• Conduct ablations and large-scale experiments; optimize training/inference throughput on multi-GPU clusters.
• Collaborate with researchers and engineers; present findings internally and contribute to publications or patents.

Skills

Deep learning

Python

PyTorch

Motion planning

Education

PhD student in Robotics/CS/EE

Tools

CUDA/TensorRT

Multi-GPU training

Job description

Honda Research Institute USA in Mountain View, CA is seeking a PhD-level research intern to advance closed-loop E2E driving, spanning policy learning, trajectory generation, and training/evaluation in a state-of-the-art simulation bench.

The internship offers hands-on experience with cutting-edge autonomous driving research, multi-GPU training, and collaboration with full-time researchers, with opportunities for publications and patents.