Research Intern: End-to-End Autonomous Driving

Job Number: P26IN
T-06

Honda Research Institute USA (HRI-US) is seeking a self-motivated research intern to join our CI-Mobility Research team. This individual will contribute to the development of efficient generative and autoregressive models for end-to-end autonomous driving. This work will involve training and/or distilling an efficient generative model in combination with an autoregressive model to address the long-tail nature of the autonomous driving task.

A key requirement will be real-time inference, which will require adapting the final model to achieve an efficient architecture.

Mountain View, CA

Key Responsibilities

• Train and distill a generative and an autoregressive model for the end-to-end autonomous driving task.
• Apply model adaptation techniques to achieve real-time inference capability.
• Benchmark the developed algorithm's performance in closed-loop simulations.
• Publish findings in a top-tier conference or journal.

Minimum Qualifications

• Currently enrolled in a Ph.D. program in Robotics, Electrical/Computer Engineering, Machine Learning, or a related field.
• Research experience in machine learning, decision-making, motion planning, and robotics.
• Experience with ML frameworks such as PyTorch or Tensor Flow.
• Excellent programming skills in Python.

Bonus Qualifications

• Publication record in the areas of machine learning, decision-making and motion planning at top-tier venues such as NeurIPS, ICLR, CVPR, ICML, AAAI, ICRA, IROS, etc.

Years of Work Experience Required 0

Desired Start Date May 2027

Internship Duration 3 Months

Generative models, Autoregressive models, Knowledge distillation

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For California applicants: Please review the Honda California Job Applicant Privacy Notice before submitting your application.