Engineering Jobs in Japan
131 engineering jobs in Japan open to English speakers, updated 25 October 2026.
Japan's tech scene is hiring international engineers. Browse frontend, backend, mobile, DevOps, data, and machine learning roles at companies that welcome English-speaking talent. Many offer remote work, visa sponsorship, and no Japanese requirement.
Refine with filters →Field Application Engineer
TenstorrentTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Engage directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Work closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. Explore how to push the boundaries of AI performance on custom silicon and help developers do the same. Experience what it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. Master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. Understand why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
NAND CAD Design Environment Development/Support Engineer
Micron TechnologyOur vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop internal tools and flows for various areas within the CAD design environment, including circuit design, layout design, simulation, and electrical circuit checks among others. Work jointly with the global CAD members as necessary to develop these flows which will be released to all global design and verification organizations. Support design and verification teams globally with respect to training and troubleshooting issues they face. Propose new solutions based on feedback obtained from the design and verification teams. Interact with external EDA vendors to implement their tools in our flows, to push new development, and troubleshoot issues in their tools. Use agentic AI to assist in developing these flows, and/or implement AI agents in the flows themselves. Provide technical leadership and guidance to junior engineers, fostering their professional growth and development.
Research Sciences INTERN
MicrosoftMicrosoft Research Asia – Tokyo is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas, including computer vision, generative AI, 3D perception, and robotic action learning, among others relevant to Embodied AI. By pushing the boundaries of these domains, we aim to develop innovative solutions that bridge the gap between the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios. We are seeking a highly motivated and talented PhD student to join our team as a Research Intern. This internship offers a unique opportunity to work on cutting-edge research in the field of Vision-Language Models (VLMs), fundamental machine learning, computer vision, and Spatial AI, and Robotics, for realization of Embodied AI. The successful candidate will work together as a team of experienced researchers to tackle real-world challenges and contribute to the advancement of AI technologies. Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in Embodied AI. Design and implement experiments to test new hypotheses and validate research findings. Communicate research findings to an interdisciplinary research team. Prepare technical papers, presentations, and open-source releases of research code.
AI Creative Lead - BytePlus - Japan
ByteDanceBytePlus is the enterprise technology arm of ByteDance, providing Generative AI, multimodal models, AI agent solutions, and cloud infrastructure capabilities to businesses worldwide. Join BytePlus as an AI Solution Architect Lead focused on Generative AI Creative. You will help customers turn cutting-edge image, video, audio and multimodal models into scalable products, creative workflows and measurable business outcomes. This is a customer-facing role spanning pre-sales, solution architecture, prototyping and production delivery. The ideal candidate combines strong technical judgment with a practical understanding of how creative content is developed, reviewed, localized, distributed and measured in industries such as advertising, e-commerce, film, animation, media and entertainment. The core focus includes generative image, video, audio and multimodal models; AI-powered creative production workflows; customer solution design and technical pre-sales; and production architecture, optimization and delivery. Industry applications include advertising creative generation and adaptation, e-commerce product imagery and video, film, animation and pre-visualization, and media localization and content operations. Lead customer discovery and solution architecture by partnering with sales and customer stakeholders to identify high-value creative AI opportunities, define technical and business requirements, and design solutions that connect model capabilities with real production workflows. Build compelling prototypes and proofs of value by rapidly creating customer-facing demos using image, video, audio and multimodal generation models, demonstrating clear creative quality, workflow efficiency or commercial impact. Own production delivery by guiding solutions from prototype to launch, including model and API integration, system architecture, media-processing pipelines, deployment, observability, evaluation, safety and operational handover. Design agentic creative workflows by building practical agent harnesses that orchestrate models, tools, state, memory, asset processing, human review and quality checks across multi-step creative production tasks. Optimize quality, performance and economics by making informed trade-offs across output quality, consistency, latency, throughput, reliability and cost, and improving prompts, model configurations, routing, caching and inference strategies based on production requirements. Establish evaluation standards by defining fit-for-purpose evaluation approaches for creative outputs, combining automated metrics, model-based evaluation, human review and business or campaign performance signals. Shape product and go-to-market direction by translating customer feedback and industry patterns into actionable input for product, research and engineering teams, and developing reusable solution patterns, reference architectures and industry narratives. Drive cross-functional execution by coordinating with account executives, product managers, researchers, engineers, creative stakeholders and customer teams to manage technical risks and deliver successful outcomes.
[MedTech] Heart Recovery Field Service Engineer
Johnson & JohnsonAbiomed Japan is a MedTech company leading the Heart Recovery field. Its flagship product, Impella, is a circulatory support device that helps restore cardiac function in patients with acute heart failure or cardiogenic shock. The Field Service Engineer plays a vital role—not simply maintaining equipment, but supporting its reliable operation and contributing technical expertise to life-saving treatment. This role offers the opportunity to experience both the dynamism of a growing company and the stability of being part of the Johnson & Johnson MedTech group. Department: APAC Field Service. Location: Tokyo. The Service Engineer primarily performs internal service work on Abiomed’s medical device, the Automated Impella Console. Key responsibilities include maintenance, software and hardware updates, troubleshooting, repairs, and management of equipment and related service assets. The role also supports smooth customer service and continuity of service operations through maintenance contract-related work, accurate service activity records, and close collaboration with Sales, Quality Assurance, Supply Chain, and other relevant departments. In addition to internal service work, the engineer may visit customer facilities to install equipment and configure device connectivity. During these visits, the engineer clearly explains service procedures and technical information to clinical engineers and hospital administrative staff to ensure they understand them appropriately. Key responsibilities include internal maintenance of the Automated Impella Console; software and hardware updates; troubleshooting and repairs; management of equipment and service assets, including loaner consoles, calibration tools, spare parts, inventory, ordering support, and usage history; support for maintenance contract-related work; on-site support as needed; explaining procedures and technical information to customers; responding to escalations from Sales; collaborating with relevant departments; maintaining accurate records in systems such as Salesforce and SAP; and participating in required service training.
Senior Site Reliability Engineer - Marketing Cloud Platform Department (MCPD)
RakutenRakuten Group, Inc. is a global leader in internet services and has a diverse ecosystem spanning across e-commerce, fintech, communications and more serving approximately 1.8 billion members worldwide. Founded in Tokyo in 1997, the Group operates in over 30 countries and regions with more than 30,000 employees. The Marketing Cloud Platform Department (MCPD) drives Rakuten's marketing product strategy, executes product development, and ensures successful implementation. We empower Rakuten's internal marketing teams by creating engaging, respectful, and cost-efficient marketing platforms that prioritize our customers. Leveraging the Rakuten Ecosystem, we offer comprehensive marketing solutions, including campaign management, multichannel communication, and personalization. As a team of over 150 experts across Japan, India, and Singapore, we pride ourselves on being a technology-driven organization that shares knowledge within the Rakuten Tech community. As a Senior Site Reliability Engineer in MCPD, you will drive operational excellence by implementing best practices in observability, incident management, and automation. This role bridges engineering and operations, requiring both strong technical expertise and people management skills to build and maintain highly available systems that serve millions of Rakuten's customers globally. Responsibilities include defining and driving SRE strategy, including SLO/SLI frameworks, error budgets, and reliability targets aligned with business objectives and customer expectations; establishing and improving incident management processes, including on-call rotations, escalation procedures, and blameless post-mortem practices to minimize MTTR and prevent recurring issues; collaborating with development teams to embed reliability practices into the software development lifecycle, advocating for design reviews, chaos engineering, and production readiness reviews; designing and implementing comprehensive observability solutions (monitoring, logging, tracing, alerting) to provide actionable insights into system health and performance; driving automation initiatives to reduce toil, improve deployment reliability, and enable self-service capabilities for engineering teams; partnering with Architecture and Platform teams to ensure infrastructure decisions support scalability, fault tolerance, and cost optimization goals; managing capacity planning and performance optimization for critical marketing platforms handling high-volume campaign executions and real-time personalization; and reporting on reliability metrics, incident trends, and operational health to leadership, translating technical insights into business impact assessments.
Semiconductor Principal Design Engineer
Micron TechnologyThe Principal Design Engineer in Micron’s NVEG organization contributes to the development of new memory products by assisting with the overall design, layout, and optimization of datapath circuits for NAND flash memory. This position will drive task forces and make strategic decisions on major datapath architectural changes influenced by new design specs such as higher speed/lower power. They will assess pros and cons of new architecture and drive all activities pertaining its implementation. The role will be expected to lead technical datapath design projects, directing the design planning, layout, and validation activities according to project timelines. Responsibilities include designing and optimizing TSV (Through-Silicon Via) interface circuits connecting memory die to logic die, including Rx/Tx circuits for internal TSV channels, impedance matching, and timing margin analysis. Develop and characterize TSV electrical models and define circuit design constraints for the datapath interface. Define and implement signal integrity requirements for the TSV channel, including eye margin, crosstalk, and noise budget analysis, and define and implement power integrity requirements using TSV for highly parallel IO and array operations. Design and verify TSV-specific DFT (Design for Testability) circuits, including loopback test modes, TSV continuity checks, and lane redundancy/remapping logic. Interface with process technology and DTCO teams to optimize TSV design rules, standard cell usage, and layout strategies for the internal datapath. Develop and execute a functional verification plan for the TSV interface and internal parallel bus, including full-chip circuit simulation and Verilog regression. Design and optimize the wide internal parallel data bus spanning multiple arrays, channels, and pseudo-channels, ensuring timing closure and signal integrity across the full parallel bus. Architect the datapath from the page buffer through the data line sense amplifier, redundancy logic, and bus driver to the TSV output interface, managing parallelism across bank groups and banks. Develop clocking and synchronization strategies for the highly parallel internal bus, including wave pipeline design, clock distribution, and skew management. Implement and optimize column redundancy and lane repair schemes compatible with HBM-like highly parallel bus architecture. Define timing budgets and perform timing analysis across the full internal datapath under PVT variations. Support post-silicon validation, debug, and correlation activities; identify schematic edits and drive necessary tape-out revisions. Collaborate with packaging and assembly teams to ensure TSV reliability constraints are met within the datapath floorplan. Communicate with project integration and other functional teams in design on specifications of major block interfaces. Communicate with PE to drive silicon experiments and propose fixes and improvements for yield improvement and silicon debugging. Communicate with Apps regarding introduction of new specs and limitations based on design requirements and limitations. Document and review final results with experts and stakeholders.
Software Engineer - EC Logistics Development Department (ECLD)
RakutenDepartment Overview: When you see the word "Rakuten," what most likely comes to mind are e-commerce services such as "Rakuten Ichiba," "Rakuten Books," and "Rakuten Fashion." When you order a product through these services, it arrives at your home as if by course, every single day. But where and how are these products stored and managed, packed, and shipped before they reach your home? In fact, this part that you never directly see is the responsibility of the EC Logistics organization we belong to. We operate a number of warehouses across Japan, where we store and manage products for "Rakuten Books," "Rakuten Fashion," and "Rakuten Direct," and handle operations such as inbound and outbound processing. We also offer a service called "Rakuten Super Logistics," through which we take custody of products from merchants on Rakuten Ichiba and perform the same product-related operations on their behalf. What makes this entire chain of warehouse operations possible are the systems developed by us, the EC Logistics Development Department. If our systems go down, products purchased through e-commerce will not be delivered, and delivery ("last mile") is the one and only point of direct contact with the customer. Logistics may have a strong behind-the-scenes image, but it plays a crucial role. While managing these systems close to the "front line (the warehouse)," we are also responsible for systems such as controlling the "estimated delivery date" shown on Rakuten Ichiba, "delivery status inquiry" from purchase history, and "delivery-related notifications." In this way, we at the EC Logistics Development Department develop and operate the "logistics" that support the Rakuten Group as a whole, as well as the "systems" that support that logistics. The Mission of ECLD: To realize services that let people get "what they want," "when they want it," and "where they want it," by leveraging logistics and IT. To provide convenient logistics services and features to shopping users, so they can enjoy their shopping experience. To support Rakuten Ichiba merchants in running their operations from the logistics side, and to contribute to maximizing their sales. To contribute to the growth of Rakuten Ichiba through the expansion of the above logistics systems. Position Details: We are hiring a prospective leader with strong communication skills who can proactively raise and drive the resolution of challenges within a diverse engineering team and organization. Depending on your preference, you may also be involved in development management work. This position is for an engineer to take charge of the business-logic development, system maintenance, and architecture improvement of the mainly API-centric data integration layer known as "Warehouse Gateway (WHGW)." WHGW sits between the Order Management System (OMS), which handles Rakuten users' order data (purchase information), and the Warehouse Management System (WMS), which manages the entire flow of products in the warehouse, including inbound, outbound, and inventory management. WHGW occupies an indispensable position connecting these two systems, and is regarded as a critical system that must process a large volume of order information accurately and quickly every day. To further develop this system and make it more stable, we are looking for a candidate who can become an engineering leader in the near future. Responsibilities include creating system requirements, functional requirements, and architecture requirements; developing project plans and work plans and estimating personnel and equipment costs; basic design, infrastructure and middleware procurement, and log collection and management; release planning and execution; system operations design, execution, and troubleshooting; application development for high-load transactions and design and execution of performance testing; and implementation, including code review. Work Environment: Across the entire department, roughly 160 members are active, spanning both Japan and overseas. The group you will belong to is an organization of about 10 members. Many members join us with experience in software development as product managers or engineers, but most of them had no background in logistics and acquired the domain knowledge only after joining our department. As our application platform, we primarily work with an in-house Private Cloud environment.
Forward Deployed Engineer (AI Consultant / AI Engineer) - AI Product Development Section , Enterprise Solution Development Department , Group Sales Division (GSD)
RakutenOur organization is dedicated to solving essential business challenges through the implementation and utilization of AI. In this position, you will work closely with customers to gain a deep understanding of their operational challenges, and take end-to-end responsibility for the design, implementation, and improvement of AI-driven solutions. A major appeal of this role is the practical experience you will gain in driving business transformation while engaging with both business and technology. You do not need to possess all the required skills at the time of joining; you will be able to enhance your expertise step-by-step while acquiring the necessary knowledge and skills through training and OJT. With the expansion of our B2B AI products and services, we are looking for individuals who can delve deeply into individual customer challenges and drive the entire process-from design and implementation to improvement-of AI-based solutions. We also expect you to accumulate the insights gained from each project into reusable mechanisms and expand our reproducible delivery model. You will organize business processes, challenges, and constraints through interviews with customers; visualize “As-Is” and “To-Be” states; design and prioritize AI use cases; define project objectives, KPIs, scope, requirements, and success criteria; build consensus with customers and internal stakeholders; and formulate and drive project plans. You will design AI agent workflows, prompts, tools, and skills; implement prototypes using coding tools and other resources; test hypotheses and continuously improve based on customer feedback and evaluation results; and conduct testing, QA, and release with operational requirements in mind, including post-deployment problem-solving. You will facilitate customer meetings; manage schedules, issues, and risks; provide user onboarding, training, and adoption support; measure implementation effectiveness and propose and execute subsequent improvements; and share and standardize insights, templates, components, and best practices gained through projects. The team is approximately 30 members by the end of the year and is expected to grow to around 50 members from the beginning of the next year.
Digital Cloud & AI Solution Engineer (Azure Data, Education)
MicrosoftMicrosoft Elevate is a global initiative designed to help education institutions and the people they serve thrive in the AI-powered economy. In Japan, Microsoft Elevate supports the broader Education sector, including K-12 and Higher Education, by combining AI, cloud, security, and skilling programs to accelerate education, research, and operational transformation. The Digital Cloud & AI Solution Engineer (Azure Data, Education) is a technical sales role responsible for helping education customers envision, design, and validate database, analytics, data governance, and AI solutions. This role leverages Microsoft Fabric, Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry (including Azure OpenAI), and related technologies to support data integration, analytics, visualization, and AI-driven transformation across education, research, and operations. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Design, demonstrate, and position solutions using Microsoft Fabric including OneLake, Data Warehouse, Real-Time Intelligence, BI, and Copilot, as well as Azure Databricks, Azure SQL, Cosmos DB, PostgreSQL, Power BI, Microsoft Purview, Azure AI Foundry (including Azure OpenAI). Assess technical readiness and define practical roadmaps for data utilization, learning, research and operational data integration, database and analytics modernization, generative AI, and data governance. Use demos, PoCs, hackathons, and architecture workshops to influence technical decisions and accelerate secure, scalable production deployments of data and analytics platforms. Design architectures that address data quality, access control, privacy, compliance, cost, and operations, and resolve technical objections and blockers. Help customers migrate and modernize from on-premises EDW, Hadoop, BI, and existing database environments to Microsoft Cloud database and analytics platforms. Collaborate with sales teams, Cloud & AI Specialists, services, partners, product teams, and engineering teams to scale Azure Data and Data & AI adoption across the Education market.