Jobs at Woven by Toyota

The role involves supporting and enhancing Oracle ERP/EPM solutions, managing implementations, troubleshooting, and driving process improvements, particularly focusing on Japan's business functions.

Lead a team of engineers in developing the Digital Twin Platform, ensuring delivery, enhancing team culture, and collaborating cross-functionally for business value.

Design, build, optimize, and support ML platform systems and tooling for perception, prediction, and planning. Build dataset generation, cloud training and evaluation pipelines, developer-facing frameworks, and deployment tooling to ship ML models into Toyotas AD/ADAS stack. Collaborate with ML teams, optimize processes and infrastructure, and work in a hybrid Tokyo office.

Build and maintain scalable ML platform tooling, pipelines, and infrastructure for perception, prediction, and planning. Enable dataset curation, distributed training, evaluation, deployment, and inference optimization for AD/ADAS systems at scale.

Develop, build, and operate AD/ADAS HIL simulation test environments; gather requirements from test users; plan schedules and onsite operations; run technical investigations and trials to improve development efficiency and test quality; collaborate in a hybrid, multilingual agile team.

Support the Woven City project by conducting privacy risk assessments, managing privacy policies, and ensuring compliance with relevant laws and regulations.

The Senior Simulation Engineer will develop core simulation technologies, integrate solutions, analyze results, and advocate for innovative methodologies in AD/ADAS systems.

Design, implement, test, and integrate AD/ADAS motion planning and control software. Define requirements, write and review code, run simulations and real-vehicle tests, collaborate across teams, and improve development processes and CI/CD for productization.

Manage end-to-end recruiting across campus, mid-career, tech and non-tech roles, and PwD hiring. Source and engage candidates globally, partner with hiring managers and HR, run recruiting plans, conduct bilingual communication in Japanese and English, and maintain candidate pipelines and recruiting data to inform hiring decisions.

Use statistical modeling and analytical frameworks to shape data acquisition, validation, and ML training strategies for AD/ADAS. Develop metrics to characterize data distribution and diversity, perform ambiguous problem analysis to inform decisions, communicate findings to stakeholders, embed with engineering teams for domain-specific recommendations, and mentor data science engineers to drive best practices.

The Senior Data Scientist will develop data strategies for AD/ADAS, improve machine learning model performance, and lead data-related activities for perception technologies.

Design software architecture for AD/ADAS systems, define requirements, optimize component placement, and manage hardware budgets in collaboration with engineers.

The role involves designing complex systems for software-defined vehicles, producing system requirements and designs, and improving engineering processes. Collaboration with cross-functional teams to address system challenges is essential.

Lead end-to-end development of operations products for Woven City, define requirements and roadmaps, coordinate cross-functional teams, design KPI dashboards, turn operational problems into product solutions, and drive launches and iterative improvements.

Design, develop, and deploy advanced deep learning models for behavior planning in autonomous vehicles. Build scalable ML training and deployment pipelines, optimize inference, integrate with vehicle platform (C++), and collaborate across Perception, Planning, Simulation, and Infrastructure teams while adhering to safety and cost constraints.

Lead a team of engineers in developing machine learning models for planning and prediction in autonomous driving. Responsibilities include defining technical direction, fostering team effectiveness, and ensuring high-quality software practices.

The Engineering Manager will lead and mentor engineering teams, manage product roadmaps, collaborate across functions, and bridge communication between technical and non-technical stakeholders.

Design, build, and operate a highly available, secure multicloud Kubernetes platform and cloud account vending service. Develop Kubernetes controllers and cloud services in Go, Python, and TypeScript, implement IaC and GitOps deployment patterns, create CI/CD automation and health checks, collaborate with SRE/observability teams, and mentor junior engineers.

Design, build, and operate data pipelines, warehouses, and traceable databases for hydrogen software products; ensure data quality, traceability, and API integration; collaborate with cross-functional teams and third parties to support reporting, analytics, and product development.

Build and maintain large-scale data pipelines and distributed systems to ingest, process, store, and serve petabytes of vehicle data for ML and AD/ADAS development. Collaborate with ML and CV engineers, design cloud-native solutions, and ensure reliability, observability, and automation across data platforms.