Software Engineering Intern, Motion Planning

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

Woven by Toyota’s Advanced AD/ADAS organization is developing the core algorithms for safe and robust driving of complex and uncertain real-world environments. Our teams are contributing to next generation autonomy and ADAS active safety systems through core algorithms, data-driven approaches, and efficient architectures. We are looking for interns with a computer science or robotic background who are interested in working with motion planning engineers and learning about the AD/ADAS industry.

 

During this internship, you will get a chance to work with our Motion Planning Engineers to explore new ideas to improve quality and safety of automated rides of the next generation of Toyota vehicles.

 

Woven by Toyota internships are structured to ensure you grow both technically and professionally. You will get a chance to work on real projects that will impact future key results of our mission, while receiving constant feedback, and clear goals/directions. This is achieved by providing you support from both mentors, and managers, throughout your entire internship period. At the end of the internship, you will also have the opportunity to share and present the results of your project with the team, as well as others that may be interested in your achievements.

 

●      Prototype state of the art algorithms to improve the capabilities for vehicle motion planning.

●      Use metrics to measure, validate, improve performance through testing in simulation and on roads.

●      Participate in ideation to explore potential solutions for issues reported in simulation or from road tests.

 

●      M.S., Ph.D students in Robotics, Control, Computer Science.

●      Familiar with motion planning or decision making algorithms, e.g. trajectory optimization, sampling-based planning, model predictive control, machine learning, etc.

●      Proficient in C++, and may have familiarity with Python or other programming languages.

●      Excellent communicator and passionate about algorithm design.

・We are an equal opportunity employer and value diversity.

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