Honda Research Institute USA (HRI-US) is at the cutting edge of Honda's research and development activities. Inspired by Honda's global slogan - The Power of Dreams - we pursue emerging technologies and bring them into reality to make people happy, even as we are engaged daily in highly scientific, pioneering work. We realize that dreams don't co me from organizations, systems, or money. They come from people, and we seek people who have such challenging spirits to work with us.

Research Engineer / Scientist (Job Number: P18F01 )
San Jose

The position focuses on developing computer vision and machine-learning frameworks with application in highly automated driving, driver assistance systems, human-computer interfaces and robotics. The candidate will have the opportunity to work in topics, including but not limited to, 1) visual saliency modeling utilizing a unique on-road driving dataset that includes scene videos, vehicle states as well as eye gaze information and 2) imitation learning of control behavior using this dataset. The candidate’s responsibilities include designing and training novel algorithm using graph neural networks, scene graphs and relevant approaches to accomplish above tasks.

 

Qualifications:

  • PhD or MS candidate in computer science, electrical engineering, or related field
  • Research experience in computer vision, machine learning and video analytics
  • Strong background in temporal and multimodal data (e.g. video + time series) processing
  • Experience in designing deep neural networks using TensorFlow, Keras or similar tools
  • Excellent programming skills in Python (C++)
  • Strong publication record in top tier conference/journal in computer vision and machine learning areas is preferred
Scientist: Multimodal Signal Processing (Job Number: P18F02 )
San Jose, CA

This position offers the opportunity to conduct innovative research on a broad set of problems related to multi-modal temporal data understanding for next generation Honda mobility experiences.

 

Key Responsibilities:

  • Propose, create, and implement supervised and unsupervised algorithms to understand driver state/personality from multimodal and multisensory data streams obtained from mobility sensor and driver/passenger monitoring sensors
  • Develop and evaluate metrics to verify reliability of the proposed algorithms
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value
  • Participate in data collection, processing, and annotation

 

Minimum Qualifications:

  • Ph.D. in computer science, electrical engineering, or related field
  • Research experience in signal processing (e.g. vehicle sensor, physiology sensors, behavioral signals) and machine learning
  • Strong familiarity with state-of-the-art machine learning (deep learning) techniques for sequential data processing
  • Proficient in software engineering using Python and ML tools (PyTorch and/or TensorFlow)
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in one or more of the following areas: signal processing or machine learning

 

Preferred Qualifications:

  • Hands-on experience in handling multi-modal sensor data (gaze, physiology)
Scientist: Human Machine Interaction / Human Factor (Job Number: P18F03 )
San Jose, CA

This position offers the opportunity to conduct innovative research on a broad set of problems to bridge human and automated/semi-automated mobility through human machine interaction.

 

Key Responsibilities:

  • Propose, create, and implement novel human-machine interaction concept by fusing visual, auditory and tactile devices
  • Conduct human factor studies for the proposed systems
  • Participate in ideation, creation, and evaluation of related technologies in various domains other than traffic scenes, including machine learning and computer vision
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value
  • Participate in user experiment and data analysis
  • Participate in software development and implementation on various experimental platforms

 

Minimum Qualifications:

  • Ph.D. in computer science, electrical engineering, or related field
  • Research experience in human-computer interaction, interface design
  • Proficient in software engineering using C#, C++, Python, Unity and Unreal Engine
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in one or more of the following areas: human-machine interaction or human factor

 

Preferred Qualifications:

  • Hands-on experience in handling multi-modal sensor data
  • Experience in human-factor analysis for mobility
How to apply

​Please send an email to careers@honda-ri.com with the following:

  • ​​Subject line including the ​job number you are applying for
  • Recent CV
  • A cover letter explaining how your background matches the qualifications
Candidates must have the legal right to work in the U.S.A.​