Top Software Engineer Jobs in Tokyo

The Forward Deployed Software Engineer designs and implements data-driven solutions for clients, collaborating with diverse teams to tackle complex problems and drive impactful results.

Join the Japan Payments Technology team to design, develop, and troubleshoot secure, scalable software. Write high-quality code, apply automation, interpret architecture, analyze data for troubleshooting, address code quality, and contribute to an inclusive team culture while growing technical skills.

Design, build, and maintain backend services and reliability tooling to improve availability and resiliency. Implement CI/CD, infrastructure-as-code, observability (SLIs/SLOs/telemetry), incident management, and automation to reduce toil and drive measurable reliability improvements.

Lead design, development, testing, and maintenance of cloud-native Java/Spring Boot full-stack applications on Microsoft Azure. Build REST APIs and microservices, implement containerized deployments (AKS/Docker), CI/CD, mentor engineers, troubleshoot production issues, and drive architecture and engineering best practices.

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.

Design, develop, and maintain enterprise applications focused on business rules and decision services. Author, test, deploy, debug, and optimize IBM ODM (v9.x) rule projects. Collaborate bilingually (Japanese/English) with local and global teams, follow Agile practices, and support CI/CD and TDD processes.

The Senior Full-Stack Software Engineer will design and develop full-stack cloud services for enterprise clients, ensuring code quality and potentially mentoring a small team.

Lead architecture, development, and validation of amplifier application software for automotive customers. Drive requirements, customer technical discussions, C/C++ coding and reviews, vehicle-level integration and debugging, test planning, and mentor junior engineers while contributing to process and product-line improvements.

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.

Develop and localize autonomous-driving software for Japan by bringing up and validating AI software stacks on customer hardware. Port Linux, QNX, and Adaptive AUTOSAR systems; integrate drivers, middleware, boot configurations, diagnostics, logging, and secure boot. Collaborate with verification, release, OEM, and Tier 1 teams to resolve hardware integration issues. Automate flashing, setup, health checks, and target-hardware testing while integrating platforms into CI/CD, HIL, and test infrastructure.

Seeking a Senior iOS Engineer to lead engineering decisions, enhance the iOS app, and maintain app architecture while supporting a growing user base.

The Software Engineer will enhance data collection and ingestion pipelines, optimize cloud infrastructure, and collaborate on AI datasets for Speechify's products.

The Software Engineer will design, develop, and maintain robust APIs, oversee backend API performance, and collaborate with cross-functional teams to align architecture with product strategy.

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.

Leads hands-on engineering of high-performance Linux infrastructure for low-latency electronic trading. Designs deployment models, containerized platforms, provisioning pipelines, and production automation; optimizes kernel, CPU, NUMA, networking, and timing performance. Drives responsible AI-assisted engineering practices, governance, vendor collaboration, reliability, and reusable solutions. Partners with trading businesses, influences technical strategy and budgets, and mentors engineers and SRE teams.

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.

Design, build, deploy, operate, and monitor web services and backends serving millions of users. Use TypeScript, Next.js/React, Knative/Kubernetes, and AI coding tools while creating automated harnesses for correctness, performance, security, and maintainability. Propose user experiences and internal productivity tools, lead architectural decisions, and collaborate with product managers, designers, and engineering teams from concept through release and on-call operations.

Develop software for mass-produced driver monitoring and in-cabin perception systems. Responsibilities include analyzing requirements, implementing and evaluating perception software, improving development workflows, supporting functional safety and quality activities, managing schedules and deliverables, and collaborating with Toyota, suppliers, contractors, and internal developers. The role uses C++, Python, and MATLAB/Simulink and requires Japanese business communication and conversational English.

Design, develop, and maintain backend services and APIs for various applications, optimizing performance and collaborating with teams on product strategy.

The role involves enhancing data ingestion pipelines by sourcing audio data, managing cloud infrastructure on GCP, and collaborating with the AI team to optimize dataset creation for model training.

Build and maintain engineering tools, infrastructure, and practices to improve reliability, traceability, and maintainability of mission-critical software. Automate and standardize workflows, develop internal libraries and data pipelines, package reusable tools, define GitLab/Git and CI/CD best practices, support CI/CD troubleshooting and onboarding, and enable automated documentation and long-term tool maintenance.