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Hybrid Vehicle Perception Integration Engineer en Woven by toyota

Woven by toyota · Ann Arbor, MI, Estados Unidos De América · Hybrid

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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.

TEAM
At Woven by Toyota, the vehicle perception team develops algorithms that power production-ready autonomous driving (AD) and advanced driver assistance (ADAS) systems. Our team is responsible for building algorithms that provide cornerstone information about ego vehicle state, the surrounding static environment, and dynamic objects and road users. We seek to leverage the state-of-the-art to build novel methods that will expand the capabilities of Toyota vehicles. The system will be continuously tested on both prototype and near-production autonomous vehicles, with a concrete goal of deploying this technology in millions of Toyota vehicles in the near future.

WHO ARE WE LOOKING FOR?
For this position, we are looking for a strong software engineer and systems generalist with a background in a broad array of experience with perception algorithms for robotics or automotive applications. Moreover, we’re looking for a candidate with the ability to work hands-on in a fast-paced, collaborative, and intercultural environment.

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.
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