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Hitachi, Ltd.
In recent years, the development of the Internet of Things (IoT) has led to a rapid increase in the amount of data generated by society and businesses, and this data is now a source of new business value. Hitachi is working on "digital innovation" with customers in a variety of business activities, using technologies such as data science, AI, and media processing to rapidly launch new businesses. In this way, we aim to promote social innovation businesses, enhance our customers' corporate value, and improve people's quality of life.
In research and development, we are working to become the global No. 1 in core technologies, and we are accelerating IT x OT x product solutions, with the aim of “digital innovation” that creates new value. We are taking the lead in global companies and taking on the challenge of innovation that no one has achieved before.
We provide total support for our customers' data utilization by creating value from data and organizing and solving business issues in order to realize the next vision for society.
The work content is wide-ranging, from understanding customer issues, to solving management issues through data analysis and action creation using AI, etc., and feedback on analysis results, to developing services and software through data utilization.
This job involves consulting with customers and planning and developing solutions based on DX. We support the improvement and creation of corporate value as a DX partner that works with customers, making use of the strengths of the Hitachi Group, including GlobalLogic. We implement solutions to customer issues and drive Hitachi's Social Innovation Business.
We are conducting research and development that utilizes cutting-edge AI and data science technologies to solve social issues and innovate business. We are creating new digital solutions through the analysis of real-world data such as video, audio, and language, as well as the development of AI algorithms. We are also working on the creation of fundamental technologies, and we are leading the industry with our track record of achievements (*), including being selected for top conferences and winning top prizes in international competitions. Opportunities to work globally, including in the energy and railway sectors, are expanding.
Our mission is to transform social infrastructure-from power systems and railways to smart factories-through cutting-edge AI and autonomous agent technologies. We don’t just research; we bridge the gap between theory and real-world implementation to lead the AI transformation (AX) of society. By harmonizing AI with humans and organizational systems, we empower the next generation of social innovation.
Technologies: Neuro-symbolic AI, structural understanding AI, reinforcement learning, knowledge processing and knowledge graphs, mathematical optimization, modeling and simulation, remote sensing, human-machine interaction, physics-informed machine learning, time-series data processing (time-series foundation models), protein language models
Application Examples：Management and decision-making support, AI for Science, materials informatics, bioinformatics, satellite image analysis, knowledge management, product design support, infrastructure operations support, management and business consulting support
We conduct R&D on multimodal AI technologies with video analytics at their core, human-robot collaboration using Hitachi’s next-generation AI agent “Naivy,” and Physical AI. Across business domains including railways, manufacturing sites, power plants, public infrastructure, public safety, and medical fields, we create and lead social innovation businesses and contribute to realizing a society where everyone can live with peace of mind, stay safe and healthy, and fully demonstrate their capabilities.
Technologies: computer vision, image and drawing recognition, action recognition, tacit knowledge extraction, multimodal AI (LLMs, VLMs, VLAs), AI agents, diffusion models, XR, 3D graphics, sensor signal processing, sensory augmentation, HCI, Physical AI, embodied AI, world models, robot collaboration
Application Examples：Naivy, field-extended metaverse, disaster situation assessment AI, medical imaging diagnosis AI, work training, on-site work support, on-site safety checks, video surveillance, biometrics, AI for home appliances, OT knowledge management
We advance R&D on AI that connects people and society, including language, speech, acoustics, and time-series signal processing, reliable AI, and knowledge acquisition. By deepening theoretical exploration of multimodal data, we aim to open up new frontiers in generative AI and create solutions that combine practicality with innovation.
Generative AI (domain-specific LLMs, AI agents, multimodal AI for acoustics/charts and figures/language/time-series signals, etc.), natural language processing (knowledge extraction and structuring for LLMs, dialogue and discourse structure analysis, natural language reasoning, fact-checking), conversational agents, reinforcement learning, risk reasoning, knowledge learning, trustworthy AI (diagnosis and improvement of explainability, transparency, fairness, robustness, etc.), agentic AI (reliability, self-improvement, memory management), foundation models for speech/acoustics/time series (speech: full-duplex spoken dialogue, speech-to-speech; acoustics: anomalous sound detection, audio QA and reasoning, text-to-audio; time series: forecasting/restoration/detection, signal QA and reasoning, text-to-signal)
Application Examples：frontline worker support, contact center support (chatbots, interactive voice response), maintenance operations support, document intelligence (automated analysis of contracts and reports), service quality evaluation and VOC (voice of customer) analysis, intellectual property information analysis, failure prediction and early detection
We are advancing research and development in areas such as AI agent platforms, data pipelines, knowledge databases, network distributed AI, edge cloud, OSS, AI data centers, and storage systems, with the aim of implementing digital services in the era of AI. We contribute to social innovation for people working in the fields of energy, railways, manufacturing, medical care, finance, and public services, supported by Hitachi, Ltd.
We conduct research on building and continuously operating services that combine AI data centers and AI agents with systems that support real-world operations in areas such as energy and industry, in order to solve on-site challenges. Through this work, we contribute to addressing social issues such as labor shortages, improving productivity, and realizing a decarbonized society.
Data centers, generative AI development platforms, generative AI utilization services, cloud-native architecture, containers, blockchain/Web3, IoT platforms, multi-agent collaboration, DevOps, AIOps, SRE (Site Reliability Engineering), OSS
Application Examples：integrated management utilizing control of computing loads across distributed data centers, smart building IoT services, generative AI-powered assistants for IT system operations managers, distributed ID platform technologies that support Web3, autonomous system development through multi-agent collaboration, automated system updates using generative AI (AI lift & shift)
We develop data and knowledge management technologies that extract knowledge useful for the environment, society, and the economy from data generated by industrial equipment and social activities, and deliver new value to our customers. For a wide range of industries including electric power, transportation and cities, industry, finance, and public services, we conduct research on distributed data integration and management technologies that enable the management and search of data scattered across locations and organizations, as well as knowledge utilization technologies that rapidly extract insights by combining and leveraging such data. Through these research outcomes, we accelerate our customers’ DX based on data and knowledge and contribute to social innovation.
Databases, data catalogs, evidence data management, data lakes for multimodal data, generative AI data pipelines, AI agents, digital twins, data modeling, knowledge graphs, tacit knowledge management, digital observatory
We are engaged in research and development that creates new value by “connecting” the real world and digital space, distributed bases and systems, and knowledge and experience in the field according to requirements. To achieve this, we create new technologies such as AI technology, network and communication technology, and edge-cloud collaboration data processing technology, and contribute to social innovation that realizes operational transformation in various industries, including railways, energy, and manufacturing.
・AI technologies: distributed AI, edge AI, domain-specific AI for business, federated learning, Physical AI
・Networks: 5G/6G, communication control, SDN (Software Defined Networking), wireless systems engineering
・Data processing: data integration, distributed data processing, edge computing
・Integration with the physical world: CPS (cyber-physical systems), digital twins
We research and develop high-capacity, highly reliable data storage technologies that support the utilization and management of rapidly growing data in the era of AI. We pursue data reduction using computer architecture and AI, cloud storage, and infrastructure for large-scale AI, and our technologies are utilized as Hitachi products by global companies.
Data infrastructure for large-scale AI (computing and storage), AI training and inference processing (acceleration, etc.), AI application technologies (system operation management, image compression, etc.), public cloud utilization technologies (cloud storage services, backup to the cloud, etc.), distributed storage, power-saving technologies, hardware architecture (CPU, memory, network, GPU, FPGA, etc.), software algorithms (high-speed input/output processing, compression/deduplication, data protection, etc.)
We are conducting research and development on systems and services for social infrastructure and industrial systems. Through the design and construction of large-scale systems leveraging AI, IoT, and cloud technologies, we solve increasingly complex social and business challenges and provide efficient and flexible solutions. By leveraging the extensive knowledge and experience we have accumulated across a wide range of industries and delivering highly reliable and secure system infrastructures, we contribute to the development of a digital society.
In societal infrastructure such as electric power and railways, inefficient operations remain where AI and digital technologies have not yet been fully adopted. By modeling these operations as system models and developing digital solutions to address the challenges, we contribute to improving the overall efficiency of society.
Electric power system modeling, energy management, railway operation control system modeling, railway operation support using generative AI, mobility-energy cooperative operations, maintenance recommendations, control cloud platforms, mathematical optimization leveraging AI and generative AI
We are engaged in research and development of engineering technologies that create leading-edge digital services in the financial and public sectors and support society. For example, by leveraging generative AI and agent technologies, we develop new financial services that connect diverse industries around ESG (Environment, Social, and Governance), as well as public services and systems created through public-private collaboration, to help realize a sustainable society.
Sustainable finance, AI agents for finance, GX × smart cities, AI-driven energy-efficient equipment control, public-private partnership services, blockchain, digital currency, stablecoins, digital ID management, service incubation, DevSecOps, cloud shift for highly reliable systems, AI agents for automating system development, generative AI utilization maturity models, systems compliant with post-quantum cryptography (PQC)
We are engaged in creating social innovation businesses in growth fields such as green and digital by combining leading-edge AI and digital technologies with Hitachi’s accumulated OT knowledge and design capabilities.
OT: Operational Technology
Methods and technologies for solution creation and business creation in the mobility, public sector, industry, and energy domains
This research and development focuses on software engineering to improve business value through DX, mainly in the industry domain. By analyzing source code and various types of data, we leverage AI to improve efficiency and quality across each phase from development to operations and maintenance. (Examples of industry fields: manufacturing (FA, PA), medical equipment, water environment, elevator systems, storage systems, traceability, digital thread)
AI-enabled plant automation, process digital twins, Over The Air technology, collaborative agile development methods, generative AI-enabled software development, embedded software implementation technologies, DevOps, automated test generation/execution, model-based development, automated program correction, AI software testing and verification, embedded system performance verification, configuration management technologies, development project risk detection
As it becomes increasingly important to be prepared for cyber attacks, we are developing security technologies that utilize AI and digital technologies to enable rapid and accurate risk analysis and automated response. These technologies are applied to systems in IT domains (such as finance and public services) and OT domains (such as electric power and railways), as well as to products such as medical devices, with the aim of realizing a safe and secure society.
PSIRT/CSIRT technologies, cyber threat intelligence, security automation, vulnerability management, risk analysis, penetration testing, security testing, AI security, biometrics, confidential information processing
We are developing advanced systems that support societal infrastructure and industrial systems. We solve complex business issues and provide efficient and flexible system solutions through the construction of large-scale systems that utilize IoT and cloud technologies. We contribute to the development of a digital society by building highly reliable and secure system infrastructure, leveraging our extensive experience in a wide range of industries.
Aiming to extend people’s healthy life expectancy and realize a sustainable healthcare system, we contribute to digital transformation in the healthcare and life science fields by engaging in R&D on AI and data analytics technologies for medical (including radiotherapy), bio (including pharmaceutical manufacturing such as cell culture), and health data, as well as R&D toward the real-world implementation of these technologies.
Medical/health data processing and analysis technologies using machine learning and statistical methods (including database and data management technologies), manufacturing and biological process control, bioinformatics
We are promoting environmental and energy innovation through digital technologies with the aim of realizing a sustainable society. We research renewable energy, improvements in energy utilization efficiency, CO2 reduction technologies, and more, and provide solutions that balance global environmental conservation with a stable energy supply. By leveraging cutting-edge technologies and developing next-generation energy systems, we contribute to the advancement of society and industry.
We develop solutions for power systems to expand the adoption of renewable energy efficiently and stably. Based on various types of data related to power supply and demand, we leverage mathematical optimization, AI, and data analytics to design optimal scenarios and make policy recommendations toward making renewables the primary power source. We also develop and implement technologies for optimizing the planning and operation of power grids, economically leveraging electricity trading, coordinating the operation of renewables with data centers, EVs, and industrial thermal equipment, and achieving optimal operation of battery storage that balances performance and lifespan. Through these efforts, we contribute to the transition to a society centered on renewable energy.
Power flow simulation in power grids using optimization computation and AI/data analytics, economically rational power system operation technologies leveraging electricity trading markets, battery system control technologies applying knowledge of electrochemical characteristics and control engineering
We develop environmental system solutions that support the realization of a carbon-neutral society. Leveraging advanced modeling technologies that use AI and digital technologies to model physical phenomena and business processes, we enable the development of environmental systems such as battery manufacturing, hydrogen value chains, and water treatment, as well as maintenance technologies for industrial and energy equipment. Through these efforts, we contribute to building a sustainable social system.
Process digital twins (battery manufacturing, hydrogen production and transportation systems, public and industrial plants), process automation (automated design, AI-enabled control), battery diagnostics, blue carbon, root cause diagnosis for failures, knowledge modeling, natural language processing
We are researching nuclear power generation systems from both OT and IT perspectives with the aim of achieving carbon neutrality. We are contributing to the construction of a sustainable social system by building nuclear power plants in a digital space that incorporates OT knowledge, and providing solutions that cover the entire plant lifecycle from design, construction, and operation to decommissioning.
Plant digital twin, plant condition monitoring, work management, configuration management, equipment reliability, generative AI, metaverse
To realize a healthy and sustainable society, we engage in the development of medical and industrial equipment utilizing electromagnetic application technologies, as well as non-destructive inspection technologies that reduce maintenance burdens. By applying AI technologies to enhance the quality of medical images, analyze semiconductor inspection images, and build digital twins of electromagnetic application equipment, we combine model-based analysis with AI to contribute to higher performance and greater reliability of products.
Electromagnetic field distribution analysis, insulation and high-voltage control, semiconductor inspection, digital twins, non-destructive inspection, radiation monitoring, medical accelerator systems, AI utilization for medical imaging, nuclear fusion, superconductivity
Toward the realization of a decarbonized society, we are driving innovation in electrification, electrified mobility, and thermal/cooling energy utilization technologies that support mobility (railways, commercial vehicles, and electric aircraft) and industrial domains (industrial drives/servos and medical analytical instruments). By proactively integrating digital technologies and leveraging OT knowledge, we enable digital services such as recurring business models and contribute to resource efficiency and reduced environmental impact.
By combining OT knowledge cultivated through product development (electrical and mechanical) with data from the mobility and industry domains and AI analytics technologies, we contribute to proposing highly explainable solutions aimed at reducing maintenance costs and improving energy efficiency―such as digitizing the tacit knowledge of skilled workers and reproducing and controlling complex systems.
Technologies for digitizing OT knowledge (electrical and mechanical) cultivated through product development (1D-CAE/MBD, system simulation, electromagnetic field analysis, thermal-fluid analysis), and advanced simulation technologies that combine data analytics (AI, machine learning, mathematical optimization)
We combine advanced control technology, robotics, and digital AI to achieve automation and autonomy in manufacturing and logistics systems, transportation systems, plant systems, healthcare systems, and more. Through automation technology, we are building next-generation smart systems and contributing to the realization of a sustainable society.
We develop system control technologies to enable the autonomy of mobility such as railways and the automation of manufacturing and logistics. Through technologies such as highly reliable autonomous control platforms for system operations, real-time control that optimally operates equipment, and cyber-physical systems that understand the environment and support decision-making, we provide safe and secure solutions and contribute to building sustainable social systems and improving QoL.
Autonomous control platforms (control cloud, security and safety, functional safety), real-time control (Physical AI, model predictive control, automated driving systems, traffic control systems, robot swarm control), cyber-physical systems (environmental sensing, self-localization, sensor fusion, urban digital twins)
We are developing smart production systems for the manufacturing, logistics and supply chain fields. We analyze product data, manufacturing data, distribution and delivery data, etc. using AI, machine learning and mathematical optimization to develop systems that can autonomously achieve optimal operational operations.
Data analytics (AI, machine learning, mathematical optimization, cyber-physical systems, simulation) in the fields of manufacturing, logistics, and supply chain. Digitization of manufacturing sites (IoT, equipment sensing, manufacturing site monitoring)
We develop robot cognitive functions and autonomous control technologies to enable advanced robot autonomy and to promote cooperative work and mutual understanding between humans and robots. Based on Hitachi’s extensive product and operational knowledge, we also conduct research on robot hardware and edge control, motion generation, and intelligence, as well as CPS (Cyber Physical Systems) that connect these with IT systems. By implementing these technologies in industrial and service domains, we aim to build a people-centered society that improves QoL.
Deep learning-based autonomous motion generation (deep predictive learning, imitation learning, robot foundation models, VLA (Vision-Language-Action), diffusion models, reinforcement learning, etc.), learning-based recognition technologies, multimodal AI, multi-agent simulation, digital twins, world models, sim2real, and related applied technologies
Hitachi provides ICT solutions to a wide range of customers, including those in the financial (banking and insurance), public (government and local government), social infrastructure (electricity, transportation, and telecommunications), and industrial and distribution (retail and manufacturing) sectors. With the aim of realizing a sustainable society, data scientists play a key role in bringing together Hitachi’s expertise in IT and OT, maximizing the use of digital technologies, and accelerating the expansion of our social innovation business from perspectives that our competitors around the world cannot offer.
We have conducted PoCs and supported the implementation of AI systems for many customers using AI and data analytics technologies. Data scientists with business skills, operational knowledge, and data science expertise support customers’ DX. We are looking for candidates with the ambition to take on challenging issues by exploring and applying specialized fields such as a variety of machine learning models, media processing for documents and images, and mathematical optimization.
For customers aiming to expand their business or contribute to society, we delve into their management issues and propose hypotheses and plans that make use of digital technology. Our customers span a wide range of industries, including industrial sectors (manufacturing such as automotive, steel, entertainment, chemicals, and more), healthcare (pharmaceuticals, medical devices, hospitals, and more), and public sectors (electric power, railways, telecommunications, government agencies, local governments, and more). While leveraging Hitachi’s technologies and solutions, this position enables you to see proposals through to fruition and drive social innovation that addresses issues facing society as a whole.
We work with our customers to create a vision for the future that will use digital technology to help them evolve, improve their business value, and contribute to society. We analyze our customers' issues, work with design thinkers to develop measures, and work with DX engineers to lead the way in realizing them, involving global stakeholders both inside and outside the company. We leverage Hitachi's strengths to connect digital technology to the market for innovation and contribute to the creation of growth businesses. We welcome applications from highly motivated individuals who can engage and inspire those around them and take on challenges with curiosity, driven by a strong desire to contribute to society.
Hitachi is working to maximize the value it provides to customers and improve productivity through its Lumada business by safely and effectively utilizing rapidly growing generative AI technology both within and outside the company.
We are also actively utilizing generative AI in our research activities, and by combining it with various technical fields, we are working to improve research efficiency, create innovation, and advance technology.
