Top Software Engineer Jobs in Japan

Develop, deploy, debug, and optimize software components for Intel Open Edge platforms. Build AI applications for robotics, generative AI, and visual analytics; troubleshoot Linux installations; optimize AI pipelines across CPUs, GPUs, and NPUs; analyze benchmarks; create technical documentation and demos; and support customers across Asia-Pacific.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.

Supports the full software quality lifecycle, including requirements analysis, test design, manual and automated testing, defect management, and reporting. Develops automated tests using Selenium or Playwright and integrates them with CI/CD pipelines and cloud platforms. Serves as an English-Japanese communication bridge across onshore and offshore teams, participates in Agile ceremonies, and applies AI, agentic workflows, prompt engineering, Copilot, and RAG to improve test coverage, defect analysis, and delivery efficiency.

Provide front-line production support and troubleshooting for U.S. equities execution infrastructure during Asia hours. Maintain exchange connectivity, resolve order rejects, develop Python monitoring/diagnostic tools, coordinate incidents with exchanges and global teams, participate in testing and ensure production readiness.

Customer-embedded principal engineer who designs, builds, and ships production-grade solutions, translates business needs into technical approaches, influences senior stakeholders, and transitions work to FDE teams to deliver measurable outcomes.

Participate in developing and maintaining core products, documenting business interfaces, troubleshooting issues identified by QA, and supporting customer-service teams with problem resolution and system improvements. The role requires Java development, Spring microservices, database and middleware knowledge, strong communication, teamwork, and learning ability. Experience with Web3 projects is preferred.

Design and build interfaces for HUD’s AI agent training, evaluation, and marketplace products. Translate complex reinforcement learning workflows, agent runs, evaluation results, reward signals, and quality feedback into clear, actionable experiences. Collaborate with users, researchers, and engineers to ship polished products, conduct user discovery, improve usability, and develop reusable interaction patterns.

Lead technical design and delivery of API-driven, cloud-native integration solutions. Translate business requirements into scalable architectures, perform code reviews, mentor engineers, support production issues, and apply AI-assisted engineering practices to improve productivity and solution quality.

Lead architecture, modernization, and delivery of enterprise Direct Marketing digital platforms. Drive end-to-end full stack engineering, remain hands-on in coding and troubleshooting, and lead AI/Generative AI initiatives from PoC to production. Partner with stakeholders to convert business needs into scalable, secure solutions supporting customers, agencies, partners, call centers, and internal users.

Develop and validate mission-critical spacecraft flight software in C/C++, Python, and Java. Responsibilities include software design, coding, unit and integration testing, simulation-based verification, issue resolution, documentation, and subsystem integration. Improve CI/CD pipelines, containerized development environments, testing automation, and spacecraft simulation models. Collaborate with subsystem teams to clarify requirements and advance verification tasks. Knowledge of spacecraft control systems, AOCS, GNC, or FDIR is advantageous.

Design, build, and optimize scalable LINE messaging services, LIFF applications, and LINE MINI Apps on AWS. Develop product features and internal tools, integrate with an advertising platform, translate business needs into technical solutions, and improve ecosystem performance. The role requires collaboration across Japan and the United States, strong software engineering fundamentals, and business-level Japanese and English communication.

Build and scale Base360.ai’s short-term rental platform, including customer-facing applications, APIs, automation engines, AI-powered workflows, third-party integrations, and cloud infrastructure. Develop systems for reservations, pricing, payments, guest communication, property operations, reporting, and financial workflows. Own projects end to end, make architectural decisions, ensure reliability, and deliver scalable products in a remote-first startup environment.

Build and scale high-performance backend systems for SmartNews’s advertising platform. Responsibilities include architectural design, ad ranking and delivery, premium ads, targeting, custom audiences, measurement, and resilient online and offline services. Collaborate with machine learning, data platform, ads foundation, and AI infrastructure teams. The role requires developing high-traffic web services, optimizing low-latency systems, contributing to microservice architectures, and partnering with product stakeholders throughout the project lifecycle.

Customer-facing applications engineer who deploys and integrates Shield AIs Hivemind autonomy software worldwide. Develops AI/autonomy applications using the company SDK, provides technical support and training, debugs API integrations, assists pre- and post-sales activities, creates documentation, and collaborates with product engineering to drive customer-focused improvements.

Deploy and integrate Shield AI's Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Develop AI/autonomy applications using the Shield AI SDK, collaborate with engineering and sales for pre- and post-sales activities, and incorporate customer feedback to improve products.

Develop and integrate QNX systems software, troubleshoot complex embedded and system-level issues, identify root causes, and deliver solutions for external customers. The role requires close collaboration with customers and internal engineering teams, clear communication of technical concepts, and management of multiple priorities. Responsibilities include supporting QNX technologies, debugging software, providing technical advice, and maintaining customer relationships while handling sensitive information professionally.

Design, build, and operate scalable data infrastructure and experimentation platforms for mobile games. Develop batch and streaming pipelines, cloud data platforms, telemetry systems, experimentation capabilities, and AI-assisted engineering guardrails. Lead architecture, technical direction, cross-team delivery, and operational ownership while mentoring engineers and potentially managing the team.

Develop real-time motion control software for robotic manipulators, including inverse kinematics, collision avoidance, compliance control, actuator drivers, and ROS2 integration. Build and integrate production-ready robot control software, simulate robotic systems in Gazebo, and debug issues through experiments and metrics. The role requires advanced C++, robotics control theory, MoveIt, motor control, and collaborative product development skills.

Lead the design, development, testing, and implementation of embedded software for automotive radar ECUs. Manage software project scope, timelines, resources, development planning, configuration management, risk mitigation, and stakeholder communication. Collaborate with hardware, systems, and validation teams while ensuring compliance with automotive standards. Mentor team members and provide technical leadership across software development projects.

Develop, optimize, and deploy AI applications on customer silicon; provide technical training and support; reproduce and resolve pre- and post-silicon software issues; build benchmarks and proofs-of-concept; collaborate with R&D for fixes and performance tuning; create documentation and customer-facing collateral.

Design and implement core software for heavy-machinery automation, including ROS2 architectures, orchestration, hardware drivers, middleware, monitoring, and safety mechanisms. Integrate perception, control, planning, and hardware modules; conduct field deployments and hardware validation; and build reliable production-grade systems. Collaborate across teams in English while translating project needs into actionable engineering work.

Design, build, and maintain scalable, high-availability brokerage systems for Japan. Develop backend microservices, APIs, financial integrations, and middle- and back-office systems supporting multi-currency transactions, accounting, settlement, and Japan-specific regulations. Collaborate with global engineering teams and Japanese regulators, vendors, and partners; translate requirements into technical solutions. Participate in incident response, on-call rotations, architecture, mentoring, recruitment initiatives, and regional engineering projects.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

Build and operate scalable data pipelines for autonomous-driving machine learning workflows. Responsibilities include ingesting, transforming, curating, validating, and monitoring large real-world and synthetic datasets; improving pipeline performance and reliability; supporting scenario mining and model evaluation; and collaborating with ML engineers, Data Corpus teams, AI Platform, and external partners.