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Woven by Toyota

Posted 3 months ago

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Software Engineer, Control Integration

TokyoHybrid

AI Summary

Develops state-of-the-art vehicle control and estimation algorithms from prototype to production, translating high-level requirements into implementable designs and production-quality C++ code for autonomous driving systems.

About this role

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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TEAM

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.

WHO ARE WE LOOKING FOR?

  • 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)

    • RESPONSIBILITIES

  • 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

    • MINIMUM QUALIFICATIONS

  • 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
  • Excited about AD/ADAS

    • NICE TO HAVES

  • Japanese language skills
  • Solid understanding of convex optimization and machine learning
  • Experience developing software for mass production

    • Skills

    AUTOSARC++Control TheoryConvex OptimizationEstimationModel-predictive ControlProduction SoftwareSimulation TestingUnit TestingVehicle Dynamics

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