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: Synthesis of Carbon Nanostructures (Job Number: P18F07 )
San Jose, CA

This position focuses on the synthesis of carbon nanotubes and graphene for wearables. 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 carbon nanotubes and graphene, and studying their growing mechanisms
  • Fabrication of self-standing carbon nanotube and graphene composite sheets and yarns
  • 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 textiles (E-textile) using conductive threads
  • Communicating research 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 yarn fabrication 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: 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
Research Engineer (Job Number: P19F02 )
San Jose, CA

This position focuses on the research and development of robot intelligence algorithms with emphasis given to realizing research prototypes. As part of the position, the candidate is also expected to communicate with our collaborators–local and international— to formulate project requirements, study state-of-the-art algorithms, and implement novel algorithms to meet the project requirements. This position also provides an opportunity to work on research projects in other areas using a candidate’s expertise in machine intelligence.

Key responsibilities:

  • Research and development of robot intelligence algorithms including but not limited to machine learning, decision making, motion control and perception for manipulation, teleoperation, and mobile robots
  • Design, development, and implementation of software systems on robotics hardware and simulators to realize research prototypes
  • Participate in the development and evaluation of algorithms through experiments
  • Participate in collaborative research projects with universities and other Honda research arms
  • Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value

Qualifications:

  • Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, or related field
  • Minimum 3-year experience in deep learning and other machine learning methods, motion control, robot manipulation, trajectory planning
  • Highly proficient in software engineering using C++ and Python
  • Strong familiarity working with robot hardware systems and Robot Operating Systems (ROS)
  • Hands-on experience in handling mobile manipulators and multi-modal sensor data preferred
Lead Research Engineer (Job Number: P19F03 )
San Jose, CA

This position focuses on leading a Research Engineering group (Artificial Intelligence Technology Transition) of talented researchers and engineers to drive adoption of HRI-US’s innovations with partners and customers in their commercial products. As part of the position, the candidate is expected to leverage a deep understanding of the Software Development Life Cycle (SDLC) to customize a delivery process to accelerate time to market of HRI-US’s AI innovations, yet does not stifle innovation.

The candidate will also partner closely with product, engineering, research, and marketing stakeholders across HRI-US as well as with external technology partners and customers.

Key Responsibilities

  • Be a hands-on leader to mentor the team in the latest SDLC best practices and tools. Introduce new approaches and customize HRI-US development processes across multiple, distinct research initiatives
  • Lead and support device development, user studies, data analysis, and experiments
  • In partnership with research and engineering teams, develop technology transition roadmaps and educate both internal and external stakeholders at all levels to drive implementation toward successful outcomes
  • Manage team deliverables in meeting or exceeding the defined Key Performance Indicators (KPIs)
  • Work with HRI-US’s partners and customers to balance competing priorities and manage individual project’s high quality and timely delivery
  • Prepare and present technology transfer plans, roadmaps, and outcomes to HRI-US senior leadership on a regular basis
  • Manage relationships with technology partners/vendors
  • Partner with project managers
  • Establish/maintain the Engineering Group’s vision and roadmap
  • Manage existing HRI-US Intellectual Property (IP) and assist in creating new patent opportunities
  • Manage the workload of the team and ensure sufficient resources are available through staff augmentation or hiring
  • Ensure engineers’ professional growth through mentorship and learning opportunities

Qualifications

  • B.S./M.S. Computer Science, Computer Engineering, or Electrical Engineering
  • 8+ years of work experience in software development preferably with an emphasis on Machine Learning, AI, Data Science, Big Data, and/or Robotics
  • 3+ years of managing a team of research software engineers
  • Demonstrated expert knowledge of software development from requirements through deployment and maintenance
  • Strong understanding of software design (UML) and modern project management methodologies including Agile and Waterfall
  • Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
  • Strong written and oral communication skills with a demonstrated ability to present to technical and non-technical audiences alike
  • Works effectively with cross-functional teams to build trusted partnerships
Scientist: Language and Vision (Job Number: P19F04 )
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 the video and possibly other on-board vehicle sensors. The goal is to automatically generate natural language descriptions of scenes for next-generation mobility systems with applications in advanced driving assistance and autonomous navigation.

Key Responsibilities:

  • Research and development in video-based scene understanding and captioning of complex traffic scenes involving a high degree of interaction between road users 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 pertaining to visual scene understanding and video captioning
  • 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: 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.​