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
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. The Behavior Department within AD/ADAS is responsible for accelerating ML and AI technology to deliver state-of-the-art and safe vehicle behaviors. Working across the spectrum of active safety and L2-L4 autonomy, the team delivers core technology in the areas of perception, planning, control, and HMI towards production targets with Toyota.
WHO ARE WE LOOKING FOR?
We are seeking a Lead Engineer to serve as the right-hand partner (to work in hand) to the head of World Understanding to drive the roadmap, architecture, metrics, and technical strategy for software components contributing to understanding around the vehicle. A system thinker with technical depth in machine learning approaches to complex systems. This engineer will accelerate the adoption of data-driven and deep learning methodologies, focusing on ML system design and verification, supervised/unsupervised learning, multi-modality, multi-tasks training, and temporal/sequential modeling. This role emphasizes faster and more cost-efficient model iteration, data-driven validation strategies, and unlocking new safety/performance capabilities through advanced ML.
The role also requires strong communication skills, an aptitude for mentoring tech leads, influencing and collaborating with diverse stakeholders, including TMC, in identifying deep technical challenges, developing solutions, and executing on the delivery of our autonomy mission.
