Motion Planning Engineer

Job Description

This job posting has expired and no longer accepting applications.

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.

Team

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.

Who are we Looking for?

We are looking for a motion planning engineer with experience in AD/ADAS to develop and apply optimization algorithms for motion planning; an engineer who is excited to work with others on a cross-functional team to develop world-leading capabilities; an engineer who is passionate about applying the results of their efforts to improve the lives of millions through safety and mobility.

Responsibilities:

Design, develop, deploy, and evaluate state of the art algorithms and capabilities for vehicle motion planning.

Enhance driving performance by formulating driving objectives in a trajectory optimization framework.

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

Design reusable software components as part of an integrated system.

Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.

Collaborate closely with teams like Perception, Control, Simulation, Infrastructure, Tooling to drive unified solutions.

Experience:

You possess an M.S., Ph.D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields.

You have 3+ years of experience in development of motion planning and decision making algorithms, e.g. trajectory optimization, sampling-based planning, model predictive control, and machine learning.

Hands-on experience with architecture design and building a planning stack for autonomous robots.

You are proficient in C++, and may have familiarity with Python or other programming languages.

You are an excellent communicator, skilled collaborator, and principled colleague.

You have strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale systems architecture.

For California: The base pay for this position ranges from $112,000- $184,000 a year

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

Our Commitment

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!