Woven Planet

Operations

• Design, improve, and optimize end-to-end waste management processes, including collection, transportation, treatment, recycling, and resource recovery for both municipal and industrial waste
• Establish data-driven management systems for waste visualization, traceability, and KPI tracking
• Manage regulatory compliance and permitting related to industrial waste management (e.g., Waste Management and Public Cleansing Act, special controlled industrial waste requirements)
• Lead coordination and relationship management with external contractors, local governments, residents, tenant companies, and factories
• Plan and execute pilot projects for upcycling and resource recovery, and develop new initiatives for waste reduction and circular resource utilization
• Support ESG initiatives and sustainability reporting, including CO₂ reduction metrics, recycling rate improvements, and environmental certifications
• Support environmental PoC activities and resource recycling experiments conducted within Woven City
• Collaborate and align with Toyota Group companies, municipalities, and partner organizations

Waste Management Assistant Manager – Test Course Operations

Full-stack Engineer

• Design, build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems.
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
• Gain practical experience, working with other Data Infrastructure engineers, Site Reliability engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the self-driving space.

Software Engineering Intern, Data API

• Work on high-impact projects and innovate new solutions to problems in the self-driving space
• Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
• Design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development for ML training and simulation
• Measure and increase the diversity of our data, working closely with our data scientists
• Work on distributed systems that serve, process and transform large quantities of data in the cloud
• Mentor other engineers in the team, set a high bar for engineering excellence
• Shape the technical roadmap of the team, influence and align overall technical strategy with data users in ML development and virtual validation

Staff Software Engineer – Data Search

Machine Learning Engineer

• Conduct research to integrate state-of-the-art ML components into our auto-labeling pipeline, enhancing its efficiency and accuracy.
• Prepare and manage datasets to support data-driven model development and validation.
• Engage in daily collaboration with a ML Engineer, receiving mentorship and guidance while working on project tasks.
• Gain hands-on experience with production-level data and real-world applications, enhancing your practical skills in a professional setting.
• Summarize key findings and insights in a comprehensive final report, highlighting project outcomes and providing actionable recommendations.

Machine Learning Intern, Autolabeling

• Assist in designing, implementing, and maintaining tooling for Vertex, Reactor, and related platforms used in TMC workflows
• Develop automation, validation, and integration capabilities aligned with safety‑critical automotive development needs
• Support CI/CD pipelines and build processes for large-scale, multi‑team projects
• Collaborate with Toyota Motor Corporation engineering teams to gather requirements and adapt tools to real-world development scenarios
• Help improve developer-facing CLI tools and GUIs that interact with Arene’s ecosystem
• Participate in debugging and troubleshooting tooling issues reported by external teams
• Contribute to technical documentation and onboarding materials for TMC engineers using the tools

Software Engineering Intern, Tooling

• Accelerate autonomous driving by providing access to data collected by vehicles
• Developing Machine Learning models for perception and prediction of human driving patterns
• Identify real-world driving situations for validation and simulation
• Engage with advanced data search problems to enhance system design expertise
• Gain hands-on experience in practical engineering issues in an industry setting
• Present project results to the team and stakeholders

Software Engineering Intern, Data Search

• Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures.
• Own development of a new model functionality end-to-end. This means initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
• Team player and “get things done” mentality
• Produce a final report and present to the the autonomy team
• Collaborate closely with other Perception team members as well as with upstream and downstream customer teams.

Machine Learning Intern, Vehicle Perception

• Assist in designing, implementing, testing, and debugging embedded software components for Arene’s platform
• Contribute to developing APIs, drivers, middleware, and services that interface between hardware and applications
• Help improve tools, build systems, and automation workflows to support embedded software delivery
• Participate in analysis of requirements and creation of technical documentation
• Assist in integrating software into target hardware and validating performance
• Collaborate with engineers from different Arene teams on cross‑functional projects
• Follow best practices for embedded development, safety requirements, and code quality standards

Software Engineering Intern, Embedded

• Implement, deliver and refine Arene SDK software components for users to interact seamlessly with the vehicle systems
• Design and implement abstraction layers to enable hardware-agnostic software platforms using modern C++ concepts
• Collaborate with global teams to accelerate and improve Arene software development

Senior Software Engineer, Embedded Systems

• Design, deliver and refine systems & software for emulation - for testing, integration, and validation of the automotive software
• Design and implement an emulation platform which precisely emulates vehicle hardware and expands the foundation of Arene’s ecosystem
• Design and implement abstraction layers to enable hardware-agnostic software platforms
• Collaborate with global teams to accelerate and improve Arene software development

Senior Software Engineer, Emulation Systems

Systems Engineer

• Solve cross-functional problems and challenges with Systems Engineering
• Define System and Software architectures, applying both requirements and model-based systems engineering methods with traceability from business requirements down to software
• Engage with customers and internal stakeholders to derive System Requirements and Designs
• Produce System Requirements and System Designs
• Assist Software Requirements and Software Design processes
• Continuous improvement of Systems Engineering processes, reflecting industry best practices
• Educate and grow engineering teams Systems Engineering competences

Senior Systems Engineer

Technical Product Manager

• 高度に技術的なセキュリティチーム（SOC、インフラセキュリティ、プロダクトセキュリティ）と、Mobility領域のプロダクトチーム／ビジネスステークホルダーの間を、信頼性高く調整し、大規模インフラプログラムのセキュリティロードマップ策定と成果物（Deliverables）の進捗管理を行う
• 対象インフラ基盤プラットフォームに必要となるセキュリティ成果物のための、オンボーディングプロセス、ポリシー、およびプログラムライフサイクル全体の策定・整備・運用
• プラットフォームおよび重要サービスに対し、グローバル規制要件を満たすためのセキュリティフレームワークの構築・支援（リスク管理、データ活用の統制、輸出規制対応、ベンダーセキュリティ等を含む）
• セキュリティチーム間（例：インフラセキュリティ、プロダクトセキュリティ）の調整を推進し、必要なセキュリティエンジニアリング、ハードニング、脅威モデリング、セキュリティ変更管理の対応が完了するよう支援
• インフラにおける重要なセキュリティ／運用上のギャップを先回りして特定し対処。SOCによる監視、脆弱性管理、イベント／インシデント対応について、明確な役割分担・責任範囲・プロセスを確立し、拡張されたプラットフォームスコープ全体で十分なカバレッジを確保。
• 外部公開（External-facing）サービス向けの新規セキュリティポリシー策定における合意形成を主導し、既存のWoven Cityポリシーを新たな要件に適合させるための助言・調整を行う
• ガバナンス／セキュリティチームと密に連携し、外部顧客に提供するプラットフォームに必要な基本枠組み（例：責任共有モデル（Shared Responsibility Model）、リスク許容度（Risk Appetite）の定義）を整備。Toyotaの関連ガイドラインへの準拠を確保。

Woven City テクニカルプログラムマネージャー – TPM

• Proven ability to credibly coordinate between highly technical security teams (SOC, Infrastructure Security, Product Security) and Mobility product teams/business stakeholders to define security roadmaps and track deliverables for large infrastructure programs
• Develop and maintain onboarding processes, policies, and the overall program lifecycle for security deliverables required for the target infrastructure platform
• Develop and support the security framework to meet global regulatory requirements for the platform and its critical services, including risk management, data enablement, export regulatory compliance and vendor security
• Facilitate coordination across security teams (e.g., Infrastructure Security, Product Security) to ensure necessary security engineering, hardening, threat modeling, and support for security change management are completed for the platform
• Proactively identify and address critical security and operational gaps within the infrastructure. Establish clear roles, responsibilities, and processes for security monitoring (SOC), vulnerability management, and event/incident response, ensuring robust coverage across the expanded platform scope.
• Drive alignment on new security policies for external-facing services, and advise on adapting existing Woven City policies to meet new external-facing platform requirements
• Collaborate closely with Governance Security teams to establish essential frameworks (e.g., Shared Responsibility Model, risk appetite definitions) for platforms serving external customers. Ensure adherence to required Toyota guidelines.

Technical Program Manager – Woven City

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 to drive innovation
• Enable and support your team to be more effective through coaching, leading by example, providing high‑quality code and design‑document reviews, and delivering rigorous reports.
• Collaborate with team members to design, develop, deploy, and evaluate state‑of‑the‑art pipelines and processes for ML model development, testing, and deployment.
• Lead the execution of projects by defining efficient engineering processes, mitigating technical risks, and advocating for architectural improvements that enhance system reliability and scalability.
• Increase speed of the component- and system-level model iteration while maintaining cost efficiency.
• Drive organizational metrics towards performance, safety, and quality.
• Design reusable software components as part of an integrated system.
• Understand and champion software practices that produce maintainable code, including continuous integration, code review, etc.
• Work in a globally distributed department (US, Japan, London)
• Work in a hybrid workspace, with the requirement to be present in our Palo Alto office three days a week.

Engineering Manager, ML Platform – Behavior

Financial Planning and Analysis

• ・Woven City における水素実証プロジェクトの日々の運営管理
• ・水素実証の運営に関わるKPI（重要業績指標）の設定、モニタリング手法や評価フレームワークの策定（※燃料電池、蓄電池、太陽光発電、ガスパイプライン、EMSなど、関連システムとの関係性の整理を含む）
• ・設備オーナーやベンダー、プロジェクトマネージャーなど、社内外の各種ステークホルダーとのコミュニケーションマネジメントおよび関係性構築
• ・プロジェクトにおけるハイレベルスケジュールの設計、具体的なタスクの切り出し、および役割分担に基づく業務配分までの一連の実行推進
• ・設備オーナーやベンダー、水素実証の関係者との連携や課題対応/問題解決の実行推進（※計画書や社内文書の改訂を含む）
• ・実務経験・専門知識・業務を通じて培った知見を活かした、Woven Cityおよび外部における将来的な水素・エネルギープロジェクト開発支援