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.

Scientist: Alternative Energy Exploration (Job Number: P18F08 )
San Jose, CA

This position focuses on the search, research, and development of alternative energy sources and their applications. The candidate must possess excellent interpersonal and communication skills, eagerness to learn and grow, and have a flexible approach to solving problems.

Key Responsibilities:

  • Search for disruptive materials and concepts (optical, electrical, thermoelectric, magnetic, etc.) for alternative energy generation
  • Exploitation of alternative energy for future applications
  • Characterize and analyze the materials through SEM, TEM, XRD, Raman, UV-Vis, FT-IR, low temperature electrical and magnetic measurements, and so on
  • Communicating research results through presentations and scientific publications

Qualifications:

  • Ph.D. in materials science, physics, chemistry, or related field
  • About 5 years of experience in the related field after Ph.D. preferred
  • Strong written and oral communication skills and good teamwork

Duration:

  • Up to 4 years with the possibility of further extension at the company’s discretion
Computer Vision Scientist: Language and Vision (Job Number: P19F04 )
San Jose, CA

This position focuses on research problems that are at the intersection of vision and language for next-generation mobility systems. In particular, the work involves research and development of computer vision and machine learning algorithms toward visual scene understanding and linking the visual information to natural language for applications involving video captioning, vision-language navigation (VLN), and visual question answering (VQA).

Key Responsibilities:

  • Conduct research and development on problems at the intersection of vision and language. The scenes are acquired from a mobile platform and involve a high degree of interaction between agents in the scene and the environment
  • Design, develop, and integrate software systems and architectures necessary to realize research prototypes
  • Develop and evaluate metrics to verify the reliability of proposed algorithms
  • Participate in data collection, sensor calibration, and data processing
  • Participate in ideation, creation, and evaluation of related technologies in various domains including traffic scenes and indoor robotics
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value

Qualifications:

  • Ph.D. or M.S. in computer science, electrical engineering, or related field
  • Strong familiarity with machine learning techniques at the intersection of vision and language
  • Familiarity with scene modeling and interpretation using spatiotemporal graphs, scene graphs, graph convolution networks, or similar graphical modeling techniques
  • Familiarity with automatic generation of natural language descriptions from images and videos and/or familiarity with visual question answering research domain preferred
  • Experience in open-source Deep Learning frameworks such as TensorFlow or Pytorch preferred
  • Highly proficient in software engineering using C++ and Python
  • Hands-on experience in handling multi-modal sensor data preferred
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in computer vision or machine learning
Computer Vision Scientist: Visual Scene Understanding (Job Number: P19F05 )
San Jose, CA

The position focuses on research and development of computer vision and machine learning algorithms toward the understanding of scenes and prediction of behavior for next-generation intelligent mobility systems. The goal is to determine the relative importance of agents and objects in navigation by interpreting the detailed semantics of visual scenes through explicit modeling of objects/agents, their attributes, relationships to other objects/agents and the environment, intention, and future destination.

Key Responsibilities:

  • Research and development of video-based computer vision algorithms that enable interpretation and understanding of complex traffic scenes involving a high degree of interaction between road users and the environment for various driving assistance technologies
  • Research and development of supervised and unsupervised mechanisms (e.g. attention) that identify “important agents” that potentially influence the ego-vehicle’s future trajectory and the driver’s decision-making process
  • Design, development, and integration of software systems and architectures necessary to realize research prototypes
  • Develop and evaluate metrics to verify the reliability of proposed algorithms
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value

Qualifications:

  • Ph.D. or M.S. in computer science, electrical engineering, or related field
  • Strong familiarity with machine learning techniques pertaining to visual scene understanding
  • Familiarity with scene modeling and interpretation using spatiotemporal graphs, scene graphs, graph convolution networks, or similar graphical modeling techniques
  • Experience in open-source Deep Learning frameworks such as TensorFlow or Pytorch preferred
  • Highly proficient in software engineering using C++ and Python
  • Hands-on experience in handling multi-modal sensor data preferred
  • Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents
  • Strong publication record in computer vision or machine learning
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.​