POWERD LAB の求人一覧 - 株式会社パワーエックス

■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.