Woven Planet

Program Manager

• Lead end-to-end global program ownership for AD/ADAS programs from concept through production, developing and overseeing a structured approach to the program, ensuring alignment with broader business goals. Define program scope, key milestones, and success metrics to drive execution and continuous improvement.
• Drive the planning, execution, and delivery of complex AD/ADAS programs, specifically those involving sophisticated software, machine learning, and system components.
• Lead a global program management team, actively developing and leading a high-performing global team, fostering a highly collaborative, innovative, and accountable work environment to maximize individual and team performance.
• Identify and proactively mitigate risks that may impact program timelines, quality, or efficiency. Develop contingency plans to address challenges related to deployment, infrastructure, and system integration. Communicate program updates, risks, and dependencies to senior leadership and key internal and external stakeholders.
• Guides development activities across multi-disciplinary engineering (Engineering, Product, Hardware, Software, Operations, etc.) to advance design, validation, failure analysis, and set appropriate pass/fail criteria.
• Mediate critical program processes, such as design reviews and build schedules, to effectively enable and foster collaboration between Woven by Toyota (WbyT) and key stakeholders, including Toyota.
• Establish and facilitate program governance and operating mechanisms, including design reviews, build schedules, performance metrics, KPIs, and communication rhythms across internal teams and external partners.
• Drive accountability across teams and remove execution barriers, proactively resolving conflicts, identifying blockers, escalating decisions where needed, mobilizing solutions to keep programs on track, and enabling teams to deliver high-quality, on-time results.
• Build and scale program management processes and tools to drive global consistency, transparency, predictability, and high execution quality across multiple teams and regions.
• Partner closely with stakeholders; ensure alignment on priorities, technical decisions, and customer expectations.

Director of Program Management

Machine Learning Engineer

• Drive the strategy and development of state-of-the-art initiatives to accelerate end-to-end autonomous driving research, including onboard and offline applications, across Woven and TRI tech leads.
• Identify opportunities, resolve ambiguities, propose initiatives and execute to transfer successful research efforts to the production path.
• Lead the design, development, experimentation and benchmarks of ML models for e2e autonomous driving, ranging from data strategy, multistage training approaches, model selection and experimentation, as well as evaluation methods and deployment.
• Identify opportunities across the training stack and initiate efforts to increase the scalability of ML pipeline to support the training of large foundation models, and to optimize edge deployment needs of sota architectures.
• Collaborate, across timezones, with cross-functional teams such as Data, Perception, Simulation, TRI Research teams to define interfaces and requirements for an end-to-end stack, and to influence technical decisions across the partnership with Woven and TRI to drive innovation.
• Initiate, lead and mentor on ML best practices across teams.

Staff Machine Learning Engineer – End to End Autonomy

Business Operations

• Provide administrative support to the Workplace Program Manager
• Collect data for reports and presentation materials
• Support meeting operations: scheduling, distributing materials, taking and sharing minutes
• Document management and version control
• Assist with reporting and data analysis
• Facilitate information sharing across teams
• Handle internal approval processes and administrative requests
• Support cross-functional projects and team operations
• Coordinate with related departments on workplace initiatives
• Assist with standardization (templates, guidelines) and process improvements
• Support communication and information distribution within the team
• Handle documentation, meeting coordination, minute-taking, and progress tracking
• Contribute to standardization by developing templates and guidelines
• Assist in communication and distribution of information across the team
• Participate in operational improvements: requirements gathering
• Process analysis
• Proposal of enhancements
• Provide backup support to workplace operations teams
• Assist with physical security (access control system management)
• Support emergency response coordination with other departments during disasters or incidents
• Assist with office services operations across multiple sites in Japan
• Handle payment and expense-related processes

Business Operations Specialist

Full-stack Engineer

• Support for architectural design and execution planning to ensure stable service delivery using a variety of cloud vendor platforms
• Provide implementation of optimal mechanisms for machine learning jobs across multiple regions and platforms in terms of data transfer
• Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks, using English to collaborate
• As a developer, establish and improve development standards together with the team
• Implement CI/CD best practices for our services
• Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents

Senior Software Engineer, Enterprise AI

• Contribute to ML model R&D by prototyping, validating and iterating on existing and new model architectures towards an online mapping system.
• Participate and influence in end-to-end development of new ML models, from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on-road performance.
• Influence the overall AD/ADAS online mapping 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 and “get things done” mentality.
• Collaborate closely with stakeholders in downstream customer teams to define interfaces and requirements for the Perception stack.
• Closely collaborate with other Autonomy subteams to develop end-to-end solutions.

Machine Learning Engineer, Online Mapping

Game Engineer

• ウーブン・バイ・トヨタについて
• ウーブン・バイ・トヨタは、トヨタの100年に一度のモビリティ・カンパニーへの変革に寄与していきます。「自分以外の誰かのために」発明を続けたという歴史からインスピレーションを受けた私たちのミッションーそれは、モビリティの定義を拡げ、そしてモビリティが社会に貢献する方法を拡張し、人を想うイノベーションで、モビリティの常識に挑み続けることです。
• 私たちは4つの柱を中心に活動しています：自動運転・先進運転支援システム技術のAD/ADAS、SDV（ソフトウェア定義車両）のための車両ソフトウェア生産プラットフォームであるArene、モビリティのテストコースであるWoven City、そして協業基盤を支えるデジタル・インフラストラクチャのCloud & AIです。また、ビジネスに不可欠な機能がこれらのチームの実装を下支えし、一丸となって「事故ゼロ社会」と「幸せの量産」の実現に向けて取り組んでいます。
• =========================================================================

Unity アプリケーションエンジニア

Application Engineer

• You will drive Unity-based application development and collaborate with your team to bring the product to life
• ・Leading the design, development and operation of applications, and ensuring product quality
• ・Integration of proprietary technologies into applications and implementation of technical enhancements to improve reliability and stability
• ・Continuously improve user experience during operations
• ・Plan and execute testing strategies, including test case design, system-level testing, and issue resolution
• ・Conduct code reviews and manage configuration and release processes to maintain software integrity

Unity Application Engineer, Information Mobility

• 機械学習ワークフローにおける大規模な課題に取り組み、特にデータパイプライン、継続的インテグレーション、評価、組み込みシステムへのデプロイメントに注力します
• クラウドにおいて、CI/CDのベストプラクティスでスケーラブルなMLOpsおよびDevOpsパイプラインを設計・実装します
• ホスト構成、Dockerイメージ、トレーニングコード、データセットといったMLトレーニング環境を維持します
• 大規模な車両データの効率的な管理・活用を可能にする、信頼性の高いデータパイプライン、ワークフロー、およびツール群を構築し、機械学習モデルの開発とデプロイを加速させます
• 認識スタックのための可視化、分析、およびモニタリングを開発します
• MLシステムの周辺要素が高いセキュリティ基準で実装されていることを確認する手助けをします

MLOpsエンジニア, Perception

Frontend Engineer

• Work on high-impact projects and innovate new solutions to problems in the self-driving space
• Work on an internal React.js application, used by hundreds of internal daily users in the US, UK, and Japan
• Work on an open source React.js component library, continuing its development, and improving its functionality
• Work on a React Native mobile application deployed to both iPhone and Android devices
• Work with UI contractors as part of the team
• Work with the backend engineers on designing new REST APIs
• Work with customers with different technical backgrounds (from vehicle operators to ML engineers) on new features, gathering requirements, and delivering them
• Work on distributed systems that serve, process and transform large quantities of data in the cloud

Frontend Engineer – Data Team

Engineering Manager

• Define the team’s short‑term and long‑term technical direction while collaborating on broader cross‑functional strategic initiatives.
• Initiate and influence cross‑functional teams toward common development goals.
• Enable and support other engineers on the team to be more effective through coaching, leading by example, providing high‑quality code and design‑document reviews, and delivering rigorous reports from ML experiments.
• Be actively involved in day‑to‑day development and code review.
• Collaborate with team members to design, develop, deploy, and evaluate state‑of‑the‑art algorithms and capabilities for prediction and motion planning.
• Use metrics to measure, validate, and improve performance through testing in simulation and on roads.
• Design reusable software components as part of an integrated system.
• Understand and fulfill software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in‑vehicle testing.
• Be a champion of the scientific method and critical thinking to invent state‑of‑the‑art deep‑learning solutions.
• Work in a high‑velocity environment and employ agile development practices.
• Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.

Engineering Manager, Machine Learning Behavior Planning, Prediction

Engineer

• Architect and extend our next generation core simulation technologies (e.g. world engine, interfaces, scheduler, agent frameworks).
• Drive the integration of core simulation technologies into solutions or workflows, ensuring end user requirements are met.
• Analyze simulation results to identify gaps between simulated and real-world performance. Prioritize improvements in the core simulation and integration software.
• Partner with ADAS autonomy, integration, and release teams to improve validation of ADAS software.
• Help set the team roadmap to support the growing landscape of ADAS customers and data sources.
• Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.
• Propose and advocate for modern technologies and methodologies that can drive innovation and performance.

Senior Simulation Engineer, Automated Driving, ADAS

Platform Engineer

• Design, build, maintain, optimize and support the ML Platform’s systems and tools for perception, prediction, and planner development, allowing numerous ML engineers to effectively & efficiently iterate on dataset curation, ML modeling, training, evaluation and deployment of ML models into our functionally safe AD/ADAS stack, shipped in millions of Toyota vehicles.
• Develop user-friendly tooling, frameworks and libraries to support the overall ML engineering effort, from ML modeling, to tracking performance metrics and introspecting failure modes.
• Build and maintain efficient data curation, cloud training and evaluation pipelines.
• Develop and review code with other ML and ML Platform engineers to facilitate rapid incremental improvements.
• Optimize the current processes, tooling and supporting infrastructure to accelerate the overall ML engineering effort, and contribute to the long term strategy for several of our systems and products.
• Work in a high-velocity environment and employ agile development practices.
• Work in a hybrid workspace, with the requirement to be present in our Palo Alto, CA office three days per week.
• Work cross functionally to align on the target architecture of our systems and optimize processes & systems globally.
• Drive best engineering practices across the organisation

Staff ML Platform Engineer – AD/ADAS

• Lead the roadmap, research, development, and deployment of foundation models / VLAs / world models for our autonomy stack that will be applied to a variety of online and offline applications
• Discover new ways to leverage heterogeneous in-house data at Toyota scale
• Architect and implement scalable & efficient ML pipelines for training and fine-tuning large multi-modal, multi-task models
• Design experiments and benchmarks to evaluate foundation models for autonomy scenarios
• Optimize models for speed, accuracy, and robustness under diverse environmental conditions
• Translate cutting-edge research into useful production-ready solutions
• 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
• Work in a high-velocity environment and employ agile development practices
• Team player and “get things done” mentality
• Closely collaborate with internal and external teams to develop end-to-end solutions

Staff ML Engineer, Foundation Models

• Design, develop and maintain low-level system components including device drivers, inter-process communication mechanisms, and data logging systems
• Develop tooling for system diagnostics, automated performance analysis, and validation
• Profile and optimize system performance, including CPU/GPU utilization, memory management, latency reduction, and throughput
• Debug complex system issues across hardware, middleware, and application layers
• Participate in code reviews, mentor junior engineers and contribute to engineering best practices

Software Platform Engineer, Driverless e-Palette

• ・Collaborate closely with other engineers to develop and document City Platform requirements, architecture, design, code, tests and operation
• ・Work closely with other engineers to design and implement City Platform services
• ・Collaborate with teams who are building digital services, and help them get the most out of the City platform.
• ・Operate and monitor production systems every day and support users

Software Engineer, City Platform

Solutions Engineer

• Collaborate closely with Product Owners to clarify business and customer requirements
• Analyze business workflows and user scenarios, and translate them into actionable system requirements
• Organize requirements into a structured product backlog to ensure a shared understanding across the development team
• Define development priorities and scope based on business objectives and technical feasibility
• Design application functionalities and define the overall module structure
• Develop API specifications, data models, and external system integration designs
• Drive continuous improvement and process optimization, including DevOps and CI/CD pipelines
• Lead technical proof-of-concept (PoC) initiatives to validate feasibility, cost efficiency, and scalability
• Define technical architecture for MVP development to verify product value with minimal viable functionality
• Collaborate with development teams to conduct sprint-based implementation reviews and validate deliverables
• Leverage customer feedback and pilot data for data-driven analysis, evaluation, and improvement proposals

Senior Solution Engineer, Mobility Infrastructure

Operations

• Define team strategy, derive key results based on Arene objectives and lead their execution
• Act as leadership figure by engaging people and caring for them, ensuring people have what they need to be successful
• Collaborate with corporate functions to define and continuously improve business processes, such as procurement and contract management, asset management, location and office space management, garage operations, etc.
• Drive alignment across global offices and ensure that processes are applied systematically
• Manage collaboration with IT (EnTech) to ensure the Arene team has the right infrastructure for developing and providing world-class products and services
• Drive information security processes and confidentiality management for the Arene organization. Ensure continuous housekeeping for successful knowledge management.
• Manage Arene internal communications and people development programs, such as onboarding, mentoring or competency assessment programs to ensure the Arene members have the right competencies, access to information and support to perform
• Ensure that Arene leadership has the required visibility on the health of operations via well-designed, up-to-date dashboards

Team Lead, Operations Execution Excellence

QA Automation Engineer

• Develop automation related to the integration, use, and enhancement of various security systems and data sets including: code security, cloud security, infrastructure security, identity security, and AI security
• Develop ways to automate the assessment and validation of security controls
• Integrate data sets between technical security systems and business systems to accelerate security-supported workflows such as risk, compliance, and other reporting paths
• Perform automation-assisted hands-on security review supporting Product and Engineering teams to establish and validate security requirements in new and existing products or systems
• Perform threat modeling and application security assessments for projects across the organization
• Perform automated and manual security testing for software, cloud, and network systems developed and used by Woven by Toyota
• Provide consultant-level communication that is effective at multiple levels of sensitivity and multiple audiences
• Report to the senior manager for Enterprise Security Services and come to the office 3x per week as per our hybrid work policy

Enterprise Security Automation Engineer

Product Manager

• Design and optimize first-time user experience to reduce time-to-value on MS1 (incl. importing/sourcing talent data, seeding talent profiles, and IDP/SSO configurations)
• Lead our strategy for implementing native connectors, integration, and APIs with leading HR Systems (e.g. Workday, SAP, SuccessFactor, Oracle, etc) or external IPaaS partners for extensibility
• Define and deliver in-platform subscription management and reporting capabilities
• Define and deliver our enterprise billing workflows, including invoicing, renewal, upsell, and auditability
• Partner with our Customer Success and Design teams to design in-product feedback loops and nudges
• Monitor and suggest ways to optimize our product adoption and activation rates, including our time to onboard and time to value metrics
• Continuously benchmark MS1 against best-in-class SaaS platforms and their onboarding experience with ours