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Researcher, Vehicular Cloud System for Connected Car

Intelligent Computing Division | Mountain View, CA | Full Time

Job Description

Job Summary:

We are seeking a Researcher for our R&D group that develops the foundational technologies for our future vehicle-related service.  The selected candidate will be engaged in algorithmic and system research development for our future services based on connectivity between Internet and Vehicles and/or among local vehicles.

Primary Responsibilities:

  • Research on Vehicular Cloud System for Connected Cars
    • Architecture design of Vehicular Cloud System for Connected Cars
    • Virtualization of the resources for Vehicular Cloud
    • Proof-of-Concept Implementation

Experience/Skills Required:

  • PhD in Computer Science or a similar field. (Other fields will be considered with relevant experience)
    • Specialty in Distributed System
  • 3+ year experience in distributed system research. 
  • Excellent programming skill on C++ and Python.
  • Excellent analytical ability and problem-solving skills.
  • Ability to learn and willingness to work in a fast-paced unstructured environment.
  • Detail oriented with the ability to work independently.

Preferred Experience:

  • Experience on edge computing research.
  • Experience with network protocol design.
  • Experience in design and implementation of large system.


To apply for this position, please submit your information at the company website with the following materials:

  • A cover letter explaining why you would like to work with us
  • Latest Resume/CV
  • Any other information that you think we should consider when reviewing your application

About us:

Since 2001, Toyota InfoTechnology Center USA, Inc. has specialized in R&D and business research with a focus on cutting-edge information technologies to advance the driving experience of Toyota automobiles and safety of the automotive industry on the globe. ITC’s current areas of interest include future vehicular network,in-vehicle software and system architecture, vehicle-to-vehicle communication technology, intelligent computing technology including artificial intelligence and machine learning.