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Engineering Manager, Motion Planning

Engineering Manager, Motion Planning

Woven by ToyotaPalo Alto, CA, US
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Engineering Manager, Motion Planning

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Our mission is to challenge the current state of mobility through human-centric innovationexpanding 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.

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 an experienced manager with experience in AD / ADAS to lead a team of engineers to develop a state-of-the-art motion planner for autonomous driving. You will also contribute to the design and deployment of our hybrid planner by leveraging the strength of data-driven and rule-based approaches to improve our next-generation autonomous vehicles. The ideal candidate will have domain expertise in motion planning, be familiar with machine learning solutions, have built and deployed real-world autonomous driving products, and have worked in a fast-paced environment along with other highly talented engineers.

Responsibilities

  • Lead a team of engineers in the Planner Feature Integration and Core Development team, leveraging both technical expertise and leadership skills to drive high-impact results.
  • Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives.
  • Expand the team through strategic hiring and support the ongoing professional development of team members.
  • Collaborate with team members to design, develop, deploy, and evaluate state-of-the-art algorithms and capabilities for vehicle motion planning.
  • Collaborate with team members to integrate the machine learning model in the motion planning stack.
  • 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.

Minimum Qualifications

  • M.S., Ph.D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields.
  • 5+ years of professional experience in the automotive industry, in the development of motion planning algorithms, e.g. trajectory optimization, sampling-based planning, model predictive control, and machine learning.
  • 2+ years of experience in managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
  • Hands-on experience with architecture design and building a planning stack for autonomous robots.
  • Strong programming skills in C++.
  • An excellent communicator, skilled collaborator, and principled colleague.
  • Strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale systems architecture.
  • A strong, practical understanding of real-time system development, performance issues, testing modalities, and tradeoffs.
  • Nice To Have

  • Experience in Python or other programming languages.
  • Experience with code compliance and embedded systems.
  • Experience with hardware-in-the-loop design.
  • Experience in writing production-level code in a real-time operating system.
  • For positions based in Palo Alto, CA, the base pay for this position ranges from $140,000- $230,000 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.

    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.

    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.

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    Manager Planning • Palo Alto, CA, US

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