ML Platform Senior Engineering Manager, Autonomy

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, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art 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 human-centered automated driving solutions for personal and commercial applications.   WHO ARE WE LOOKING FOR?   We are seeking for an experienced, technical, hands-on ML Engineering Manager to lead a group of highly talented and passionate ML Platform engineers, and work in close collaboration with our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles.    This role focuses on developing and deploying tooling, automation and infrastructure to support the entire ML software lifecycle, from data loading of previously curated ML datasets and training of ML models at scale, ML models evaluation, and ML models deployment including quantization and conversion to formats supported by our edge devices.   The ideal candidate has a “giver” mindset and a deep passion for self-driving technology and its potential global impact. You will use your domain expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience developing tools and pipelines for vehicle perception, localization, prediction, and planning. Prior experience building and deploying real‑world autonomous driving products is essential. Success in this role requires a candidate who thrives in a fast‑paced environment, is eager to push the boundaries to continuously improve efficiency and performance, and has a track record of driving effective cross-functional work across multiple teams and departments.   Bring your passion for self-driving technology and help us create the future of mobility for the largest car manufacturer in the world!