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: Fabrication of Flexible Battery for Wearables (Job Number: P18F06 )
San Jose, CA

This position seeks qualified candidate for a Scientist position to begin from February 2020. 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 a proper gel or solid electrolyte for flexible battery
  • Fabrication of self-standing electrodes based on carbon nanotube supported composite sheets
  • Characterize and analyze the materials through SEM, XRD, Raman, UV-Vis, FT-IR
  • Search for proper flexible packaging material
  • Battery assembly
  • Performance evaluation including impedance measurements
  • Present the results through presentations and scientific publications

Qualifications:

  • Ph.D. in materials science, physics, chemistry, or related field
  • Postdoctoral experience in the related field
  • Knowledge in carbon nanotube functionalization and graphene synthesis 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
Scientist: Synthesis and Fabrication of Carbon Nanotube Based Yarns (Job Number: P18F07 )
San Jose, CA

This position seeks qualified candidate for a Scientist position to begin from February 2020. The candidate must possess excellent interpersonal and communication skills, eagerness to learn and grow, and have a flexible approach to solving problems.

Key Responsibilities:

  • Participate in exploring and developing efficient methods for the synthesis of horizontally and vertically aligned carbon nanotubes
  • Fabrication of carbon nanotube yarns and their composites using floating catalyst CVD method
  • Fabrication of self-standing carbon nanotube composite sheets using LiMeO and graphite as a fillers
  • Fabrication of conductive threads by coating with carbon allotropes
  • Characterize and analyze the materials through SEM, XRD, Raman, UV-Vis, FT-IR, and so on
  • Fabrication of passive and active textiles (E-textile) using conductive threads (functionalized) including incorporation of the sensors
  • Present the results through presentations and scientific publications

Qualifications:

  • Ph.D. in materials science, physics, chemistry, or related field
  • Postdoctoral experience in the related field
  • Knowledge in carbon nanotube functionalization and graphene synthesis 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
Scientist: Beyond Li-ion Battery: New Energy Sources and Storage (Job Number: P18F08 )
San Jose, CA

This position seeks qualified candidate for a Scientist position to begin from February 2020. 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 a new candidate materials and phenomenon (optical, superconductor, thermoelectric, etc.) for energy generation and storage
  • Developing technology for exploitation of new energy materials for empowering the wearable devices
  • Characterize and analyze the materials through SEM, XRD, Raman, UV-Vis, FT-IR, and so on
  • Present the results through presentations and scientific publications

Qualifications:

  • Ph.D. in materials science, physics, chemistry, or related field
  • Postdoctoral experience in the related field
  • Knowledge in carbon nanotube functionalization and graphene synthesis 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
Scientist: Language and Vision (Job Number: P18F10 )
San Jose, CA

The position focuses on research and development of computer vision and machine learning algorithms toward analysis, understanding, interpretation, and captioning of traffic scenes from video and possibly other on-board vehicle sensors. The goals include visually grounded understanding of natural language description from the driver so that the machine understands human instruction by speech as well as automatic generation of natural language descriptions of important traffic scene events to support the driver in decision making.

Key Responsibilities:

  • Research and development in video-based scene understanding and captioning, visually grounded language understanding algorithms for high-level understanding of complex traffic scenes involving high degree of interaction between road users and the environment
  • Research and development of software systems that understand high degree of interaction between agents and environments
  • Design, development, and integration of software systems and architectures necessary to realize research prototypes
  • Develop and evaluate metrics to verify 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 pertaining to visual scene understanding / natural language processing
  • 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
Scientist: Visual Scene Understanding (Job Number: P18F11 )
San Jose, CA

The position focuses on research and development of computer vision and machine learning algorithms toward understanding and prediction of complex scenes for next generation intelligent mobility systems. The goal is to develop a framework to interpret the detailed semantics of visual scenes by explicitly modeling objects/agents, their attributes, and relationships to other objects/agents and the environment.

Key Responsibilities:

  • Research and development of video-based computer vision algorithms that enable interpretation and understanding of complex traffic scenes involving 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 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.​