Engineering Manager, Motion Planning

Woven by Toyota

full-time

Posted on: 8/19/2025

Location: California • 🇺🇸 United States

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💰 $140,000 - $230,000 per year

Mid-LevelSenior

CloudPythonRTOS

About the role

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.

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.