End-to-end autonomous driving with foundation models - Honda Research Institute USA

End-to-end autonomous driving with foundation models

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End-to-end autonomous driving with foundation models

Job Number: P24INT-31
​Honda Research Institute USA (HRI-US) is seeking a self-motivated researcher to join our Mobility Research team. This individual will contribute to the development of efficient foundation models for end-to-end autonomous driving. This task will entail finetuning of an existing multimodal foundation model to adapt to the driving task. A key requirement of this task will be real-time inferencing, which will require adaptation of the model to yield an efficient architecture.
Mountain View, CA

 

Key Responsibilities

 

  • Fine-tune a multimodal foundation model for end-to-end autonomous driving
  • Apply model adapatation techniques to achieve real-time inferencing capability
  • Benchmark the developed algorithm's performance on real-world dataset and closed loop simulation
  • Publish findings in a top-tier conference or journal

 

Minimum Qualifications

 

  • ​M.S. candidate in robotics, electrical/computer engineering, machine learning, or related field
  • Research experience in machine learning, decision-making, motion planning, and robotics
  • Excellent programming skills in Python and/or C++
  • Experience with ML architectures like Pytorch or Tensorflow

 

Bonus Qualifications

  • Ph.D. candidate in robotics, electrical/computer engineering, machine learning, or related field
  • Publication record in the areas of machine learning, decision-making and motion planning in top-tier venues such as NeurIPS, ICLR, CVPR, ICML, AAAI, ICRA, IROS, etc.

 

Years of Work Experience Required  0
Desired Start Date 8/25/2025
Internship Duration 4 Months
Position Keywords ​Foundation Models, Finetuning, Autonomous Driving

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