Staff Motion Planning Engineer

Palo Alto, CA / Product & Technology - Advanced AD/ADAS / Employee / hybrid

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

At Woven by Toyota, we work on a diverse set of problems ranging from solving Trajectory Planning and Decision Making problems to optimizing latency on hardware accelerators, designing novel neural network architectures, and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting daily with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI and Robotics.

WHO WE ARE LOOKING FOR

The Motion Planning team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible for designing and developing new Machine Learning models for our Motion Planners, deploying the model on our next-generation autonomous vehicle platform, and ultimately to millions of Toyota production vehicles. The ideal candidate will have published deep learning research in top-tier conferences such as NeurIPs or CVPR, built and deployed real-world deep learning products, and worked in a fast-paced environment along with other highly talented engineers. We recognize the unique capabilities each team member brings and encourage applicants to reach out even if they do not match all of the characteristics described below.

RESPONSIBILITIES

• Motion Planning ML model R&D by prototyping, validating, and iterating on existing and new model architectures leveraging imitation learning, deep reinforcement learning, and large-scale data.
• Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine-tuning based on metrics and on-road performance.
• Lead large, multi-person projects and significantly influence the overall Motion Planning architecture and technical direction.
• Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews, and delivering rigorous reports from ML experiments.
• Work in a high-velocity environment and employ agile development practices.
• Team player with a