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.