株式会社パワーエックス の全ての求人一覧

■次世代型エネルギー／蓄電池ソリューション営業のスペシャリストを求めています ■担当地域 勤務地により、中心となるエリアは異なりますが、顧客状況により日本各地エリアを対応する事もございます。 ■業務内容 弊社蓄電池関連製品のコンサルティング営業 顧客は、電力会社、再生可能エネルギー事業者、大手製造業、物流会社、自治体、商業施設等 ※BtoCはありません ■所属する営業部について 弊社の蓄電池製品の販売戦略に基づき、コンサルティング営業を展開し、新規顧客の開拓、既存顧客との取引強化を通じて蓄電池事業の事業拡大を図ります。 ※レポートライン：エリアマネージャー及び営業部長 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■募集背景 産業用蓄電池の設置、蓄電所建設に必要な資材の発注、サプライヤー管理及び選定を選任者を置く事で、当社の蓄電池ビジネスの納期短縮や受注増を狙う為。調達マネージャーを募集しています。 ■業務内容 1. 産業用蓄電池の稼働に必要な資機材（パワコン等）の調達 2. 調達の安定化と販売計画の達成に向けてサプライヤーとのコスト、納期交渉 3. リードタイムおよびデマンド管理による調達計画の策定 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■次世代型エネルギー／蓄電池製品のサービスエンジニアを求めています ■業務内容 - 蓄電池システムの試運転・保守メンテナンスに関する業務（工具、ソフトアップデート等PC業務含む） - 顧客への引き渡し/検収に関する業務（取扱説明等） - 施工業者等協力会社の管理監督、指導、トレーニング - 不具合対応・トラブルシューティング、顧客への報告（開発、システム部門との連携を含む要因特定と早期復旧活動） - 顧客からの電話受付、メール対応 - 製品品質向上活動（開発及び生産部門への市場不具合フィードバック及び不具合の潰し込みリード） - 作業現場での安全確認及び事故防止策の実施 - フィールドサービスチームの体制構築支援 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■次世代型エネルギー／蓄電池製品のプロジェクトマネージャーを求めています ■業務内容 - 営業の担当者と連携し、技術営業や契約成立後のプロジェクトマネジメント、納期管理を通して、顧客が期待する技術的成果の達成。 - 外注企業のマネジメント（EPC会社やパートナー会社との連携、スケジュール管理） - 顧客からの相談案件やトラブルシューティングを基に、技術サービスの向上に資する企画提案及び実行 - 顧客や市場から得られる情報を社内の関連チームへフィードバック ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等 ※特にご希望の事業がございましたら、コメント欄に記載をお願いいたします。

■業務内容 - 設置済み急速EV充電器に関する以下の業務： 1) 機器不具合対応（現地でのトラブルシューティング、協力会社等への指示・管理監督、など） 2) カスタマーサポートからのエスカレーション対応 3) 定期的な予防保全メンテナンス 4) ハードウェア・ソフトウェアの機能改善（アップデート）対応 - 協力会社・外注作業員への技術指導・教育 - 修理・点検報告書の作成、マニュアルや技術資料の作成・改訂 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■蓄電池併設型の超急速充電器の設置推進プロジェクトマネージャーを求めています ■業務内容 - プロジェクトマネジメント（前工程）：商談段階のプロジェクトにおいて、営業担当者・パートナー企業（施工会社など）と連携し、現地調査や設置提案活動の推進 - プロジェクトマネジメント（後工程）：契約成立後のプロジェクトにおける、社内外のステークホルダーとの連携により、コストや納期管理を通じて、自社・顧客が期待する経済的・技術的成果の達成 - パートナー企業マネジメント：品質・コスト・納期管理に関わる施工会社や輸送会社などのパートナー企業との関係構築 - テクニカルマネジメント：顧客・市場からの要求やトラブルシューティングから得られる情報を社内関連部門（製品開発・工場など）へフィードバックし、製品仕様・品質の改良や技術サービスの向上に資する企画の提案・推進 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■事業開発・推進チームに所属し、EV車普及に必要な新しいインフラ事業の企画・開発・販売をリード頂くポジションとなります。 ■担当地域 東京を中心に全国をカバー（東日本中心） ■業務内容 以下領域の業務において顧客発掘と提案・交渉・受注までを一気通貫でリード・マネージ頂きます： - 蓄電池型超急速EV充電器の拡販戦略・販売（FC拡大含む） - 蓄電池を活用したエネマネサービスの事業開発 - 協業パートナーとの直営EV向けチャージステーション事業拡大 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■Engineering & Research Division / AI Data Center DC Block Architect ■About the role We are seeking an experienced AI Data Center DC Block Architect to join our team. In this role, you will be responsible for designing, developing, and optimizing modular, pre-engineered DC blocks that are tailored to support our organization's growing AI and machine learning workloads. ■Job Scope 1. AI Workload Analysis and Requirements: - Assess the organization's current and future AI and machine learning requirements, including compute, storage, and networking needs. - Collaborate with data science and IT teams to understand the specific performance, scalability, and reliability requirements of the AI workloads. - Identify any unique hardware or software considerations for the AI DC blocks, such as the need for specialized accelerators or optimized software stacks. 2. DC Block Architecture and Design: - Design modular, pre-engineered DC blocks that can efficiently support a variety of AI and machine learning workloads. - Ensure the DC block architecture is scalable, resilient, and aligned with industry best practices and the organization's overall data center strategy. - Optimize the DC block layout, power, cooling, and infrastructure to maximize performance, energy efficiency, and density. 3. Hardware Selection and Integration: - Evaluate and select the appropriate server hardware, including CPUs, GPUs, and specialized AI accelerators (e.g., NVIDIA Tensor Core GPUs, Google TPUs). - Determine the optimal storage solutions, considering factors like capacity, performance, and data redundancy (e.g., high-performance SSDs, NVMe, network-attached storage). - Integrate the networking infrastructure to support the required bandwidth, low-latency communication, and data transfer requirements of the AI workloads. 4. Software Stack Development and Optimization: - Design and develop the software stack for the AI DC blocks, including the operating system, containerization platform, and orchestration tools. - Integrate and configure leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras) to enable efficient model development and deployment. - Implement data management and processing pipelines, leveraging tools like Apache Spark, Hadoop, or custom data ingestion and preprocessing workflows. - Optimize the software stack for performance, scalability, and resource utilization to ensure the AI DC blocks operate at peak efficiency. 5. Monitoring and Observability: - Develop comprehensive monitoring and observability capabilities for the AI DC blocks, including metrics, logging, and tracing. - Implement data-driven insights and analytics to identify performance bottlenecks, optimize resource allocation, and ensure overall system reliability. - Automate deployment, scaling, and management processes to streamline the operation and maintenance of the AI DC blocks. 6. Security and Compliance: - Incorporate robust security measures, such as access controls, network segmentation, and data encryption, into the AI DC block design. - Ensure compliance with relevant data privacy and regulatory requirements (e.g., GDPR, HIPAA) by implementing appropriate data governance and access policies. - Develop and test disaster recovery and business continuity plans to ensure the resilience of the AI DC blocks in the event of failures or disasters. 7. Continuous Optimization and Scalability: - Continuously monitor the performance and resource utilization of the AI DC blocks to identify opportunities for optimization. - Implement auto-scaling and dynamic resource allocation mechanisms to handle fluctuations in AI workload demands. - Explore options for distributed or federated learning architectures to scale the AI capabilities across multiple edge devices or smaller data centers. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / AI Data Center Architect ■About the role We are seeking an experienced AI Data Center Architect to join our team. In this role, you will be responsible for designing, implementing, and optimizing a medium-sized AI data center that leverages the latest hardware and software technologies to support our organization's growing AI and machine learning workloads. ■Job Scope 1. AI Data Center Architecture and Design: - Assess the organization's current and future AI and machine learning requirements, including compute, storage, and networking needs. - Design a scalable, resilient, and efficient AI data center architecture that can accommodate a variety of AI workloads, such as model training, inference, and data processing. - Ensure the architecture aligns with industry best practices, regulatory compliance, and the organization's IT and business strategies. 2. Hardware and Infrastructure Selection: - Evaluate and select the appropriate server hardware, including CPUs, GPUs, and specialized AI accelerators (e.g., NVIDIA Tensor Core GPUs, Google TPUs). - Determine the optimal storage solutions, considering factors like capacity, performance, and data redundancy (e.g., high-performance SSDs, NVMe, network-attached storage). - Ensure the networking infrastructure can support the required bandwidth, low-latency communication, and data transfer requirements. - Incorporate power and cooling considerations, such as efficient cooling systems and redundant power supplies, to maintain optimal operating conditions. 3. Software Stack Integration and Optimization: - Evaluate and integrate the appropriate operating system (e.g., Linux distributions), containerization platform (e.g., Docker, Kubernetes), and orchestration tools. - Integrate and configure leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras) to enable efficient model development and deployment. - Implement data management and processing pipelines, leveraging tools like Apache Spark, Hadoop, or custom data ingestion and preprocessing workflows. - Optimize the software stack for performance, scalability, and resource utilization to ensure the AI data center operates at peak efficiency. 4. Monitoring, Observability, and Automation: - Implement comprehensive monitoring and observability tools to track the performance, resource utilization, and health of the AI data center. - Develop data-driven insights and analytics to identify bottlenecks, optimize resource allocation, and ensure overall system reliability. - Automate deployment, scaling, and management processes to streamline the operation and maintenance of the AI data center. 5. Security and Compliance: - Implement robust security measures, such as access controls, network segmentation, and data encryption, to protect the AI data center from potential threats. - Ensure compliance with relevant data privacy and regulatory requirements (e.g., GDPR, HIPAA) by implementing appropriate data governance and access policies. - Develop and test disaster recovery and business continuity plans to ensure the resilience of the AI data center in the event of failures or disasters. 6. Continuous Optimization and Scalability: - Continuously monitor the AI data center's performance and resource utilization to identify opportunities for optimization. - Implement auto-scaling and dynamic resource allocation mechanisms to handle fluctuations in workload demands. - Explore options for distributed or federated learning architectures to scale the AI capabilities across multiple edge devices or smaller data centers. 7. Collaboration and Knowledge Sharing: - Provide technical leadership and mentor junior engineers on AI data center best practices and strategies. - Collaborate with cross-functional teams (data science, IT operations, security) to ensure the AI data center meets the organization's evolving needs. - Document and share knowledge, solutions, and lessons learned to promote continuous improvement within the organization. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / IoT Security(ZTN) / Cloud & Edge Security Engineer ■About the role We’re seeking a Security Engineer to implement Zero Trust architecture for our IoT-based battery storage systems. You’ll secure device onboarding, manage cloud IoT integration, enforce access policies, and develop secure applications. ■Job Scope - Design, implement, and manage zero trust architectures for IoT and edge devices. - Secure device onboarding, certification, and communication channels. - Develop and enforce access policies aligned with zero trust principles. - Integrate IoT platforms (Azure IoT, AWS IoT) with security tools. - Implement device management and remote update mechanisms. - Develop secure web applications for device management. - Monitor security posture and respond to threats. - Collaborate with cross-functional teams for scalable deployment and security compliance. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / Edge Computing Full-Stack Engineer ■About the role We are seeking a highly skilled and experienced Edge Computing Full-Stack Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying full-stack web applications that run entirely on edge devices, specifically the NVIDIA Orin platform. ■Job Scope 1. Architecture Design: - Architect and design scalable, high-performance, and resilient full-stack applications that can run entirely on the NVIDIA Orin edge device. - Evaluate and select the appropriate backend frameworks, frontend technologies, databases, and other tools to optimize for the Orin's hardware capabilities. - Ensure the application's architecture is optimized for low latency, offline capabilities, and data privacy. 2. Backend Development: - Develop efficient and performant backend services using technologies like Python (FastAPI, Flask), Node.js (Express.js), or C++ (Drogon, Crow). - Implement secure and scalable APIs, handling tasks such as database operations, business logic, and real-time processing. - Leverage the Orin's GPU and AI capabilities to accelerate compute-intensive tasks. 3. Frontend Development: - Build responsive and interactive single-page applications (SPAs) using modern JavaScript frameworks like React, Vue.js, or Angular. - Optimize the frontend for performance and offline capabilities, leveraging techniques like service workers and local storage. - Ensure seamless integration between the frontend and backend components running on the Orin. 4. Deployment and Optimization: - Develop efficient deployment and update strategies for the full-stack application on the Orin platform. - Continuously optimize the application's performance, resource utilization, and security measures. - Implement monitoring and logging systems to ensure the application's reliability and availability. 5. Collaboration and Documentation: - Collaborate with cross-functional teams (hardware, software, and operations) to ensure a cohesive and effective solution. - Document the application's architecture, deployment procedures, and maintenance guidelines. - Share knowledge and best practices with the team to foster continuous improvement. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / Senior Software Engineer (Industrial Automation Runtime Systems) ■About the role We are seeking a highly skilled and experienced Senior Software Engineer to lead the development of an advanced industrial automation runtime system similar to OpenPLC_v3/Beremiz/PLCNext Runtime. The ideal candidate will have a strong background in real-time systems, industrial automation, and software engineering. ■Job Scope - Design and develop a flexible, high-performance runtime environment for industrial control applications. - Implement support for IEC 61131-3 programming languages and high-level languages like C++ and C#. - Develop and integrate a real-time scheduler for deterministic task execution. - Create a hardware abstraction layer to support various industrial I/O modules and communication interfaces. - Implement industrial communication protocols (e.g., Modbus, Profinet, EtherCAT) and IT protocols. - Design and implement security features including authentication, encryption, and secure boot capabilities. - Develop cloud connectivity modules and edge computing capabilities. - Create APIs and SDKs for third-party integrations and extensions. - Implement diagnostics, logging, and remote maintenance functionalities. - Ensure compliance with relevant industrial standards (e.g., IEC 61131, IEC 61508). - Collaborate with cross-functional teams including hardware engineers, QA, and product management. - Mentor junior engineers and contribute to the technical direction of the project. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / Software Engineer (Back End) ■Summary We are looking for an experienced Backend Software Engineer to lead the server-side development of our Energy Management System applications. This system serves as the intelligence behind our battery solutions, supporting automation and optimization of operations across various electricity markets. You will help design and implement robust, high-performance backend infrastructure that ensures scalability, reliability, and responsiveness. ■Job Scope - Server development for Energy management system applications, a key component of PowerX Battery System - Development of automation systems for various electricity market operations ■Language Java, Kotlin, Javascript, NodeJs, C++, Python ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / Multi-Cloud Solutions Architect ■About the role We are seeking an experienced Multi-Cloud Solutions Architect to join our team. In this role, you will be responsible for designing, implementing, and optimizing multi-cloud solutions that leverage the capabilities of various cloud providers to meet our organization's diverse business and technical requirements. ■Job Scope 1. Cloud Strategy and Architecture: - Develop a comprehensive multi-cloud strategy that aligns with the organization's business objectives and IT roadmap. - Design scalable, resilient, and secure multi-cloud architectures that leverage the strengths of different cloud providers. - Ensure the architecture adheres to best practices, industry standards, and regulatory compliance requirements. 2. Cloud Service Integration and Orchestration: - Seamlessly integrate and orchestrate services across multiple cloud platforms, including AWS, Microsoft Azure, Google Cloud, and others. - Implement efficient and automated deployment pipelines for multi-cloud infrastructure and applications. - Develop robust monitoring, logging, and alerting mechanisms to maintain visibility and control over the multi-cloud environment. 3. Workload Optimization and Cost Management: - Analyze workload patterns and resource utilization to optimize the placement and distribution of applications and data across multiple clouds. - Implement cost management strategies, such as right-sizing, reserved instances, and spot instances, to minimize cloud spending. - Develop and maintain a cloud cost optimization framework to ensure efficient resource utilization and cost-effective cloud operations. 4. Disaster Recovery and Business Continuity: - Design and implement multi-cloud disaster recovery and business continuity plans to ensure the high availability and resilience of critical systems. - Establish data replication, failover, and recovery mechanisms across cloud providers to mitigate the risk of a single point of failure. - Regularly test and validate the disaster recovery and business continuity strategies. 5. Governance and Compliance: - Establish and enforce multi-cloud governance policies, including access control, security, and compliance standards. - Ensure that the multi-cloud environment adheres to relevant industry regulations, data protection laws, and organizational policies. - Collaborate with cross-functional teams (security, compliance, and operations) to maintain the integrity and security of the multi-cloud environment. 6. Knowledge Sharing and Collaboration: - Provide technical leadership and mentor junior engineers on multi-cloud best practices and strategies. - Collaborate with cloud providers, technology partners, and the broader industry to stay abreast of the latest trends and innovations in the multi-cloud space. - Document and share knowledge, solutions, and lessons learned to promote continuous improvement within the organization. ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■Engineering & Research Division / Embedded Software Engineer ■Summary We are seeking an Embedded Software Engineer who will be responsible for developing and optimizing embedded systems at the heart of our energy storage solutions. You will work closely with our embedded designers, edge computing experts, and packaging engineers to design, implement, and debug firmware for real-time control and systems. ■Job Scope - Development of embedded systems using microcontrollers - Design and implementation of peripheral drivers (e.g., UART, SPI, I2C, ADC, PWM) - Specification design based on device datasheets and reference manuals - Testing and debugging software in collaboration with the hardware team - Real-time control and performance optimization using peripherals ■Language C, Matlab, RTOS ■Internal common IT tools - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - Bakuraku etc. ■About Engineering and Research Division Our Engineering and Research Division consists of mainly three teams that handle end-to-end development of Hardware and software systems for Energy storage & power transfer solutions and services. Currently, approximately 50 specialists are engaged in the mission of advancing energy storage technologies and solutions. The Division is organized into the following teams: - Series Development: Responsible for prototyping, testing & validation , requirements engineering , series handover of new products including product support and commissioning. - Advanced Engineering: Responsible for development and experimentation into emerging technologies to sustain our current and future roadmap of energy solutions with focus on a areas viz. embedded development, PCB design, model based development, battery management, power conversion, digital twins, edge computing, cloud solutions ,AI/ML based dispatch optimization, generation and forecasts. - Product Lifecycle Management: Manages product & project life cycles by tracking across quality gates through development, sourcing, value engineering leading up to manufacturing and after sales activities through cross functional coordination and data intensive product life cycle assessment Working alongside talented engineers from around the world, you will have the opportunity to thrive in a diverse environment that values autonomy and empowers individuals to make effective contributions while gaining new skills and experiences on some of the latest emerging technologies directly applied into our solutions.

■人事総務に所属頂き、採用チームの一員として主にエンジニア（ハード、ソフトの両方）採用を担当頂くポジションとなります。 ■業務内容 社内の関係部署や人材エージェントと連携し、エンジニア職を中心に担当する募集ポジションの採用の成功に向けた戦略立案・実行をご担当いただきます。 - 新規採用ポジションにおける人材の定義、求人票の作成 - ダイレクトリクルーティングやエージェント管理など、母集団形成の戦略設計と推進 - 採用プロセス進捗管理、オペレーションの設計 - 書類選考・カジュアル面談など - その他人事関連業務全般 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■応募時に、必ずポートフォリオをお送りください（PDFまたはwebサイトURLを推奨） ※ポートフォリオがない場合は、その時点でお見送りとさせていただきますので、予めご了承ください。 ■仕事概要 PowerXでは、電気運搬船を用いた送電イノベーションを主軸に、 BtoB/C双方のマーケットへ、再生エネルギーを用いた様々なサービス展開を予定しています。 今回募集するポジションでは、その全てに関わるweb・スマートフォンアプリのUI/UXデザイン業務全般をご担当いただきます。 ■業務内容 - B to C：EV充電器普及に向けたスマートフォンアプリのUIデザイン - B to B：電池管理、オペレーション用web/スマホアプリのUIデザイン - 開発の用件整理及び、モックアップの制作 - 実装に向けた制作 - 外部制作会社のディレクション、予算管理 ■本求人の魅力について 急成長市場の中で、社会への貢献を実現するアプリケーション作りができることが最大の魅力です。 少数精鋭の組織ですので、自由な発想をそのままアウトプットに反映することができます。 CEOや各事業責任者との距離も近く、事業に対してクリエイティブ目線での意見をすることができ、 トップクラスのエンジニアとアプリケーション開発をすることができます。 ■部署・チームについて CEO直下の組織でクリエイティブ制作/ディレクションを行う部署です。 コーポレートブランディングを軸に、サービスや社内のデザイン全般を担当します。 少数精鋭の組織で、意思決定を素早く行い、必要なクリエイティブをそのままアウトプットにつなげられることが大きな特徴です。 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■内部監査室の概要 ・CEO直下の組織で内部監査（Assurance業務/Consulting業務）を行う部署です。 ・少数精鋭を目指しており、ルーティーンワークは積極的に外部リソースを活用しています。これにより、社員は、Assurance業務の設計・デザインとConsulting業務へ注力する体制としています。 ■業務内容 ・内部監査計画の策定と実行、結果報告：内部監査計画の策定や監査スケジュールの調整、監査実務の指揮と監督、監査結果の報告書作成 ・内部統制監査（J-SOX監査）：グループ会社を含めた内部統制監査（J-SOX）のと実施と高度化 ・業務監査：グループ会社を含めた準拠性監査、テーマ監査の実施、および発見事項に基づく改善提言 ・社内コンサルティング：内部監査結果やリスクアセスメント結果、また業務分析・データ分析結果等に基づく社内の種々課題に対して改善提案の立案と実行支援 ・経営層・監査委員会への報告補助 ・監査法人対応 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） -Slack -Notion -Dialpad -SmartHR -Money Foward -バクラク 等 ■本求人の魅力 ・複数事業を垂直立ち上げ、急成長する企業において内部管理体制の構築支援、内部監査体制の構築を担える（新しいチャレンジが多い） ・当社のIPO準備から上場、上場後までの一連の監査業務を事業会社側として経験を積むことが出来る ・CEO、コーポレート領域管掌執行役（公認会計士）は上場企業でのマネジメント経験があり、内部監査に対する理解あり、支援も大きい（外部リソースの活用など自主性を重んじてくれる） ・役員、各事業責任者との距離も近く、垣根も低いので協業しやすい

■弊社蓄電池工場（国内、海外）での電池製品のQA業務、及び品質技術業務を担当していただきます。 - 生産設備立上げのための品質管理システム（QMS）の検討、導入および計画の作成と運用 - 蓄電池(単セル、モジュール単位、ラッククラスター単位)における品質基準や評価基準の検討、検査装置の導入および検査標準の作成と運用 - 製品開発部との品質確保が容易な構造の検討等のサイマルエンジニアリング業務 - 蓄電池ラック、コンテナ生産プロセスにおける工程内品質管理（QC）の検討・確立および計画の作成と運用 - 生産プロセスにおける品質基準書や作業標準書の作成と運用** - 検査設備・部品サプライヤーとの協業、及びQCDプロセスの策定、工場監査、図面仕様交渉 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等 ◾️本求人の魅力について/The appeal of this job - これまで世の中に存在していなかった電気運搬船用の蓄電池設備を始め新しい構造の電池関連製品に携わることができます - 製品開発のフェーズから現場でのものづくりと検査まで考えた構造を提案していくなど製品のスタートから量産まで幅広く携わることができます - 生産技術部は工程計画、設備設計、設備保全のエキスパート集団であり、その一員として他社ベンチマークとなるような組織作りにチャレンジできます

■国内外の蓄電池工場（Power Base）立上げにおける生産設備導入、生産プロセス立上げを担当していただきます。 - 蓄電池製品の生産プロセス策定とそれに基づく生産設備導入計画作成と実行 - 具体的には蓄電池コンテナ、蓄電池モジュール、EVチャージャーなどの生産プロセスと生産設備導入計画、設備仕様書の策定と設備導入の実行 - 産業用ロボットを用いた自動化構想検討 - CAD(2Dor3D)を用いた工場レイアウト検討 - 上記遂行のための設備メーカーや協力会社、製造スタッフとの連携 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） - Slack - Notion - Dialpad - SmartHR - Money Foward - バクラク 等

■当社が現在開発中の電気運搬船におけるNaval エンジニア（船体構造設計技術者）として、新造船の船体構造、舶用推進機器、ボディと艤装品との配置調整を含めた統合設計の取り纏めを担当頂きます。 ■業務内容 - 新造船の船体構造、舶用推進機器、ボディと艤装品との配置調整を含めた統合設計の取り纏め - 協業先のエンジニアリング会社、造船会社、機器メーカーへ上述仕様コンセプトの提案 - 造船所、機器メーカーから提出される設計図面のレビュー（設計・解析業務） - 船体構造設計(基本〜詳細)、立ち会い検査業務、船主対応業務、船体構造技術者としてスケジュール立案、管理 等 ■社内共通ITツール - Google Workspace （Gmail, G-cal, Gmeet等） -Slack -Notion -Dialpad -SmartHR -Money Foward -バクラク 等