Senior Motion Planning Engineer

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 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 a systems-minded engineer with experience in AD/ADAS to develop motion planning algorithms for our products; 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:

• Develop state-of-the-art algorithms and software for the motion planning module to deliver desired driving behaviors in various driving scenarios.
• Build metrics to measure, validate, and improve performance through testing in simulation and on roads.
• Collaborate closely with teams such as Perception, Simulation, Infrastructure, Integration, Tooling to drive unified solutions.
• Incorporate data-driven approaches to improve system performance and unlock new capabilities for safety or peace of mind.
• 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.

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 algorithms for autonomous vehicles. Additionally, your expertise ideally includes the implementation of efficient computational geometry and linear algebra methods.
• Experience with decision making, motion planning techniques like trajectory optimization, sampling-based planning, model predictive control, and Machine Learning for Motion Planning.
• 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.
• You have a strong, practical understanding of real-time system development, performance issues, testing modalities, and tradeoffs.
• Your experience with code compliance and embedded systems is highly regarded.
• Your familiarity with hardware-in-the-loop design is recommended.
• (Nice to Have) Hands-on experience with building a planning stack for autonomous robots.