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

End-to-end autonomous driving with generative models

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End-to-end autonomous driving with generative models

Job Number: P24INT-40
​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 generative models for end-to-end autonomous driving. This task will entail training and distilling an efficient generative model to tackle the autonomous 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

 
  • ​Train and distill a generative model for the end-to-end autonomous driving task
  • Apply model adapatation techniques to achieve real-time inferencing capability
  • Benchmark the developed algorithm's performance in closed loop simulation and on physical hardware
  • 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++, and ROS
  • 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 1/5/2026
Internship Duration 4 Months
Position Keywords Generative Models, Distillation, Autonomous Driving

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