Research Intern: Learning Based Motion Planning - Honda Research Institute USA

Research Intern: Learning Based Motion Planning

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Research Intern: Learning Based Motion Planning

Job Number: P25INT-53
Honda Research Institute USA (HRI-US) is seeking a motivated and detail-oriented Robotics Software Engineering Intern to work on developing reliable software modules for autonomous driving and cooperative mobility research. Contribute to the development of efficient generative models for end-to-end autonomous driving.
Mountain View, CA

 

Key Responsibilities

 
  • Train and distill a generative model for the end-to-end autonomous driving task.
  • Curate Dataset for generalizable model training.
  • 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

 
  • 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​

  • Publication record in the areas of machine learning, decision-making and motion planning in top-tier venues.

 

Years of Work Experience Required   1+
Desired Start Date  1/11/2027 
Internship Duration  3 Months
Position Keywords  ROS2, C++, Python 

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

Please, do not contact our office to inquiry about your application status.