Overview
About Woven by Toyota
Full job description
About Woven by Toyota 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.
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The Behavior Actuation team develops state-of-the-art vehicle control and estimation algorithms from prototype to production. We leverage control theory, optimization, and machine learning to design and implement real-time vehicle control solutions with measurable impact on autonomy performance. In this role, the candidate will work to refine software requirements, leverage systems-level thinking to negotiate the software design, and deliver production quality code following best engineering practices for verification & validation.
A software engineer with controls experience who is passionate about improving the lives of millions through AD/ADAS: Must know MPC in practice in order to negotiate requirements for a streamlined/simplified software design, challenging the status quo Able to communicate clearly and concisely about design trade offs and impact analysis Be willing to constantly learn and sharpen modern C++skills with an eye toward best practices for production code (ideally familiar with AUTOSAR and other C++guidelines)
Break down high-level requirements into implementable requirements without over-constraining the software design Dive deep into technical topics such as Model Predictive Control, estimation, and control theory in order to negotiate the implementation details Implement production C++code Test C++code and controller performance from unit test to integrated simulation and vehicle tests
Masters or PhD in Control Systems, Estimation, Robotics, or similar field 3+years working in AD/ADAS or highly related field (robotics, other control systems) Strong understanding of vehicle dynamics, control, and estimation C++programming experience Working proficiency in English (verbal and written) Excited about improving vehicle safety and the overall customer mobility experience
Japanese language skills Solid understanding of convex optimization and machine learning Experience developing software for mass production
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