Motion Planning Engineer
Woven by Toyota
Other Engineering
Ann Arbor, MI, USA
USD 112k-184k / year
Posted on Oct 1, 2025
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
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 positions based in Palo Alto, CA, 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.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
・Excellent health, wellness, dental and vision coverage
・A rewarding 401k program
・Flexible vacation policy
・Family planning and care benefits
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.