Career

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Internship Positions at Honda Research Institute USA for the Fall 2024

* Candidates must have the legal right to work in the U.S.A.

Computer Vision 

• Road Scene Understanding through Computer Vision (Job Number: P23INT-40)
• Computer Vision in Low Light Scenes (Job Number: P23INT-43)
• Bird Eye View Perception (Job Number: P23INT-44)

Machine Learning/AI 

• Behavior Modeling and Interactive Prediction (Job Number: P23INT-39)
• Learning Enhanced Motion Planning (Job Number: P23INT-41)

Robotics 

• Visuotactile Perception for Robotic Manipulation (Job Number: P23INT-38)
• Trajectory Planning under Formal Methods Specification (Job Number: P23INT-42)
• Intention Aware Socially Conscious Motion Planning for Autonomous Navigation (Job Number: P23INT-45)

Interested applicants are encouraged to refer to the attached file for the description of each internship position and the required qualifications. A complete list of available positions including full-time positions can be found on our career’s website (https://usa.honda-ri.com/careers).

How to Apply: Submit applications through our website (https://usa.honda-ri.com/careers)

Internship Positions with AI Racing Tech for the 2024
Due Date: 6-15-2024
Contact: Dr. Allen Yang (yang@eecs.berkeley.edu)

2024 Planning System Intern –

The UC Berkeley AIracingTech team is looking to add a couple of students to its full- scale Autonomous Racing Team program. These positions are in the ART Planning subteam and offer an excellent opportunity for undergraduates, or recent grads, to get experience in current research and best practices in highly complex robotics / autonomous vehicle planning methods.

This is so much more that just moving a robot… This is strategically determining in real-time attack, defend, avoid, hold and retreat decision making for a 200mph racecar going head-to-head with other top university teams.

These are very hands-on positions, and you will be responsible for collaborative design and building specific capabilities and features that are integral to the operation and success of the ART autonomous racing stack. As a subteam Intern member you will be working with experienced ART team members.

Expect to learn a lot about how complex systems are continuously developed and improved. See how your work in design, code walk throughs and testing fit into the real world. Be knowledgeable or committed to learning the latest thinking is Planning theory, learning-based planning and Montecarlo based planning methods. The more C++, software engineering, and GIThub experience you have the better. The ability to be self-motivated and self-directed and yet be a fully committed team player will help you achieve overall success. Just like in the real world.

This is a potential multi-year opportunity and will materially add to your future industry or academic options. Must be available for minimum of 20 hours per week and available travel to US and international events.

2024 Controls System Intern –

The UC Berkeley AIracingTech team is looking to add a couple of students to its full- scale Autonomous Racing Team program. These positions are in the ART Controls subteam and offer an excellent opportunity for undergraduates or recent grads to get experience in current research and best practices in highly complex robotics / autonomous vehicle planning methods. We mix some of the latest MPC approaches with learning-based AI and balanced by the hard reality of the control methods that 1) must work… 2) must be reliable, and 3) has to provide the answer 50 times a second.

This is so much more that just moving a robot… This is strategically determining in real-time the optimum control signals to maximize the on-track performance of a 200mph, 2000# full scale racecar at the limits of the tires and real track conditions. No hiding in the SIM, super simplified physics, or with a 1/10 scale toy racecar. This is real… we race wheel-to-wheel going head-to-head with other top university teams. Can you help us teach our autonomous driver to beat a top human driver?

These are very hands-on positions, and you will be responsible for collaborative design and building specific capabilities and features that are integral to the operation and success of the ART autonomous racing stack. As a subteam Intern member you will be working with experienced ART team members.

Expect to learn a lot about how complex systems are continuously developed and improved. See how your work in design, code walk throughs and testing fit into the real world. Be well versed in math, physics and Control theory. The more C++, software engineering, and GIThub experience you have the better to take your ideas and put them in the stack. The ability to be self-motivated and self-directed, and yet be a fully committed team player will help you achieve overall success. Just like in the real world.

This is a potential multi-year opportunity and will materially add to your future industry or academic options. Must be available for minimum of 20 hours per week and available travel to US and international events.