Research Scientist

Radar SimulAtion


The Toyota Research Institute (TRI) is an R&D enterprise designed to bridge the gap between fundamental research and product development. It has been launched with mandates to (1) enhance the safety of automobiles, with the ultimate goal of creating a car that is incapable of causing a crash; (2) increase access to cars to those who otherwise cannot drive, including the handicapped and the elderly; (3) help translate outdoor mobility technology into products for indoor mobility; and (4) accelerate scientific discovery by applying techniques from artificial intelligence and machine learning.  Toyota believes artificial intelligence has significant potential to improve the quality of life for all people, bringing ease, comfort and safety to all aspects of life.


Toyota Research Institute is looking for talented research scientists and engineers with expertise in automotive radar sensors and a thorough understanding of millimeter wavelength radar propagation and signal processing.  The candidate will work on developing physics based simulations of a variety of radar sensors with accurate phenomenology.

 

 

Responsibilities

  • Collaborate with TRI research scientists and software engineers to develop and maintain physically-accurate, reliable, and fast radar sensor simulation models.
  • Scope and design new radar sensor simulation features to meet the needs of clients inside and outside of TRI.
  • Distill physical and mathematical phenomena into the clearest possible software model.
  • Survey available automotive radar capabilities and research and develop simulations and test scenarios for sensors of interest.

 

Qualifications

  • Ph.D. or MS level degree in Electrical Engineering, Computer Science or related field.
  • Thorough understanding of radar phenomenology and signal processing.
  • Experience with physics-based simulations.
  • A solid mathematical background including calculus, linear algebra, differential and discrete geometry. 
  • Excellent C++ programming skills.
  • Interest in robotic sensing with application to autonomous driving and home robotics.

 

Locations

  • Cambridge, MA

 

TRI provides Equal Employment Opportunity without regard to the applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.