A Japanese venture company planning and developing security robot to work in commercial buildings, office buildings and other facilities. Their autonomous mobile robots are equipped with 3D SLAM by own-made laser sensor and cameras, and are coordinated on cloud platform. The product is in production use at airports and large buildings. Year of foundation: 2016 Capital: approx. 2.2 billion yen Number of employees: appros. 30

Chiyoda-ku, Tokyo

[System infrastructure development] - Development of software management system for robots: Develop management and update systems for containers that operate on robots - Development of communication infrastructure: Construct and develop communication infrastructure to connect robots to the cloud with high reliability using mobile network etc. - Simulation development: Build a simulation system that supports on-robot software development and evaluation by building a virtual test environment [Low layer robot system development] - Development of device drivers: Create ROS drivers for devices installed on robots and develop calibration tools etc. - Hardware module integration: Analyze and debug the hardware connected to the robot - Embedded software development: Develop firmware for measurement and control devices installed on robots [Environment recognition system development] - Object recognition for security applications using point clouds: Using 3D LiDAR data, develop 3D object recognition and detection systems according to customer requests - Robot image processing: Develop image processing using information such as the position of the robot, fusion processing system for other sensor information and images, etc. [Autonomous navigation system development] - Development of 3D map construction and self-localization system: Develop point-cloud-based probabilistic self-localization system, make it robust, and improve accuracy by fusing a large number of sensor data - Development of robot motion planning system: Develop global and local motion planning system, respond to various environments, enhance robustness etc. - Development of 3D LiDAR data processing system: Achieve high accuracy and reliability of obstacle detection using point cloud [Development of state management system] - Development of a state management system: Organize software module dependencies and develop a system that manages the state of the robot in order to execute user-instructed robot tasks and respond to incidents - Cloud collaboration system: Develop a system that connects the cloud and the state management system on robot - Development of robot's self-diagnosis function [Real-time data distribution system development] - Development of low-latency video distribution system: Develop real-time (sub-second) video processing, encryption, and distribution system to the cloud through mobile network

Mandatory: - C++ (C++11 or later) - Python - Linux - ROS - CI - Unit Testing - GitHub - Agile - Computer Science - Fundamental math knowledge such as linear algebra Preferable: - Deep knowledge in Docker & Linux / udev/systemd / site reliability / AWS - Deep knowledge in mobile communication & network communication / design pattern - Dynamics / knowledge in simulation framework - Knowledge in communication such as USB, and time sync - Ability to read device spec document & circuit diagram / ability to use oscilloscope / spec analysis of communication devices - Development experience on microcontroller - Point cloud processing, PCL - Image processing, OpenCV - Knowledge in probability-statistics / algorithms such as Kalman filter & particle filter - 3D point cloud data processing / SLAM - Optimization, search algorithm - State transition design - AWS IoT / Golang / knowledge in network communication - Image processing / understanding of streaming protocol / understanding of movie & audio encoding Nice to have

A multinational company with customers in more than 120 countries around the world. The Company provides management consulting, technical services and outsourcing.

Tokyo, Osaka

・To maximize effects of shift to the cloud, we plan, design, build, and migrate the complexly intertwined IT infrastructure that transcends barriers such as servers, workplaces, networks, and security. ・Based on advanced technology and knowledge related to system infrastructure, this work will be carried out by members who are familiar with the architecture of the entire system infrastructure and the various services provided by public cloud.

2+ years in architecture/infrastructure area and have one of the following experiences (OR condition instead of AND condition) 1. Experience in defining requirements, designing, developing, testing, and operating the following on-premises or in the cloud - Cloud/Server (AWS, Azure, GCP, etc.) - Communication infrastructure (Microsoft 365, MS Exchange, MS SharePoint, Google Workspace (G Suite)) - Workplace infrastructure (Windows PC migration/deployment/UpdateSCCM) - Security infrastructure (Active Directory, AzureAD, Okta (Auth0), Keycloak, SailPoint, OneIdentity, CNAPP solutions, etc.) - Network (Enterprise and Data Center, LAN/WAN, SD-WAN, Service Provider) - Network security (next generation firewall, intrusion detection/prevention, SD-WAN, load balancer, SASE) - Various OSS other than the above, middleware (RDBMS, Web/App servers, operation tools, etc.) 2. Knowledge and experience to plan, design, and build the architecture of the entire technical infrastructure by evaluating and selecting technologies considering not only functional requirements but also non-functional requirements (availability, performance, security, cost, etc.) 3. Any programming language is ok, but some programming experience (Java, C#, Python, SQL, Shell, etc.) -

A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.

Chiyoda-ku, Tokyo

[ Role ] In this position you will implement machine learning models and solve real problems in publishing industry by engineering. You will be cooperating with in-house data scientists and implementing ML models in PoC and commercial setting. Implementation involves proactive utilization of managed service and new technology. [ About this department ] The department provides supply chain optimization service powered by digital transformation (DX), in order to achieve sustainable publishing / distribution. Although coordination will be tough as there are many stakeholders that are publishers, distributors, and book stores, this is a rewarding position to be able to throughly transform the supply chain from up- to downstream. If you are tired of desktop verification, or wish to take on a new role, please join us in the challenge of industrial transformation! [ Technology stack ] Programing language: Python Framework: Apache Airflow Infra: Terraform Container: Docker GCP: Cloud Composer, Cloud Run, Cloud Functions, Big Query

Mandatory: - Experience implementing machine learning / deep learning / reinforcement learning - Experience running and managing AI such as prediction model on cloud (either production or test environment) - Experience developing ML-related service or product using Python - Involvement in all the processes from requirement definition to fundamental design to implementation to deployment Preferred: - Experience following new service / software trend and verifying on your own - Experience as a leader, sub-leader, or customer interface - Experience developing system infrastructure in a projects related to AI or data utilization - Experience designing and developing AI system using cloud infra e.g. GCP, AWS, Azure Nice to have

A joint venture founded by a trading company and 3 major publishers, aiming to bring sustainability to Japan's book distribution by digital transformation, including effective use of RFID and AI-driven optimization in publication / distribution.

Chiyoda-ku, Tokyo

[ Role ] In this Engineer position you will cooperate with AI engineers and data scientists to design, develop and operate machine learning models, to transform publishing industry to be AI-driven. In particular, you will be preparing pipeline for faster and stable deployment of ML model, developing application to efficiently process data, and building infrastructure. The work scope also includes developing ML infrastructure that enables efficient model development for AI R&D engineers and data scientists. [ About this department ] The department provides supply chain optimization service powered by digital transformation (DX), in order to achieve sustainable publishing / distribution. Although coordination will be tough as there are many stakeholders that are publishers, distributors, and book stores, this is a rewarding position to be able to throughly transform the supply chain from up- to downstream. If you are tired of desktop verification, or wish to take on a new role, please join us in the challenge of industrial transformation! [ Technology stack ] Programing language: Python Framework: Apache Airflow Infra: Terraform Container: Docker GCP: Cloud Composer, Cloud Run, Cloud Functions, Big Query

Mandatory: - Experience developing web service / application - Experience developing system infrastructure in a projects related to AI or data utilization - Understanding of data and AI algorithm processing pipeline, and of computing cost - Design of AI model or data management with consideration to MLOps - Experience using cloud e.g. GCP, AWS, Azure - Experience of API design and development Preferred: - Experience developing ML service or data infrastructure - Fundamental knowledge about ML / statistics - Experience developing and maintaining commercial service utilizing ML - Knowledge and strong interest in latest trend of ML Nice to have

A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40

Shibuya-ku, Tokyo

You will be in charge of system development related to AI / data utilization, such as secure data collection and management, AI model management and AI analysis, or other AIOps-related system. It is essential to design and develop reliable and scalable cloud architecture as we deal with data from industries like finance (bank, securities), manufacturing (factory), logistics (warehouse), or retail. With customers in manufacturing, work scope will extend to overall architecture design including local facilities, IoT, distributed computing environment, as well as design and implementation of scalable WebAPI. You will be leading technology selection to model development / implementation for projects such as implementation verification based on SOTA technology and papers, or client-driven AI development, while collaborating with project manager and engineers. Tasks include: - AI design, implementation, maintenance, evaluation and verification on project-base - Leading project in technical aspect, such as proposal to client, model development etc. - Planning, development, implementation, maintenance, evaluation and verification of existing product (secret calculation software for AI model) - Project management / direction of company's own service - Data set design to fit AI's prerequisite / process conditions / environmental conditions - Design, implementation and verification of AI algorithm based on academic paper - Research of relevant technologies - Technology selection, new technology R&D and product application accompanying the above - Managing AI engineer team Products to work on: - Secret calculation software for AI that makes AI model itself usable in cryptographic state - Application development utilizing advanced data security / interfacing technology such as secret calculation or federated learning Technology stack: - Language: Python - Cloud: AWS - Container: Docker - Misc.: GitHub, Confluence, Slack

■Mandatory skill / experience - Experience sorting out AI algorithms and approaches and examining them - Experience designing, developing, implementing, evaluating and verifying multiple (AI) algorithms - Post-graduate degree in science or equivalent capability - Ability to communicate with external customers in Japanese Plus one or more of the following: - Experience of end-to-end system development from requirement definition to implementation - Experience managing development resources - budget, progress, task, quality - Professional experience as a data scientist - Experience leading a project ■Preferred skill / experience - Experience in environmental design of AI's both edge and cloud, besides fundamental design of distributed processing architecture - Experience designing data set to fit AI's prerequisite / process conditions / environmental conditions - Knowledge and experience in analysis of high dimensional or unstructured data such as image analysis or NLP - English skill at business level Business level preferred

A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 40

Shibuya-ku, Tokyo

This is a challenging and important position that allows you to take part not only in the maintenance of existing services, but also in the launch of never-before-seen service utilizing data security technology centered in secret calculation. You will mainly be engaged in the roles below. - Backend development of secret calculation software - New development of 1. middleware that executes secret calculation process (encryption with high functionality including homomorphic encryption), 2. application to make it work with high usability, and 3. cloud infra to serve as a base for them - Design to product development and release of data utilization service that takes advantage of advanced technologies such as secret calculation or federated learning (Recent cases include security service for financial institutes using federated learning) Depending on your experience and preference, you can also be in charge of developing AIOps infrastructure including functions to deploy or manage AI models, method to improve accuracy and robustness of AI models. Tasks include: - Design, implementation and testing of existing product - Planning, design, implementation and testing of new product / service - Development and improvement of DevOps environment to cover from development to service provision - Technology selection for the tasks above. R&D as well as product application of new technology - Development of infrastructure for AI system / AIOps. Design and development of backend web API - Design and development of cloud architecture, and distributed computing environment including hardware, IoT etc. Products to work on: - Secret calculation software that enables inter-corporation data collaboration / computational processing in cryptographic state - Secret calculation software for AI that makes AI model itself usable in cryptographic state - Application development utilizing advanced data security / interfacing technology such as secret calculation or federated learning, as well as AIOps-related technology Technology stack: - Language: Python,GO, Rust, C/C++ - Container: Docker / Kubernetes - 3rd party interface: MySQL, PostgreSQL, Redis, Tableau, and so on (more connectors to be developed) - Library: Microsoft SEAL, TFHE, etc. (only listing fully homomorphic encryptions) - ML library: Tensorflow, PyTorch, Keras, and so on (using OSS depending on project) - Misc.: GitHub, bitbucket, Confluence, Slack

■Mandatory skill / experience - System development experience using more than 2 languages: Python (must have) + other backend language such as Java, Go, Rails, PHP - RDB (MySQL, PostgreSQL, SQLit etc.) or NoSQL - Git, Github or Gitlab - IF or API - Experience developing BtoB service - Experience engaged in all the phases from service planning (requirement definition) to design to implementation to deployment ■Preferred skill / experience - Experience developing web application (backend / frontend) - Experience following new service, software etc. and verifying on your own - Product management or customer interfacing experience - English at engineering / business level - Experience developing system infrastructure in AI or data utilization project - Understanding of data processing or AI algorithm processing pipeline, and understanding of computing cost - Knowledge and experience in AI, statistical machine learning etc. - Experience designing AI model or data management with consideration to MLOps, or experience developing MLOps system - Experience designing and developing AI system using cloud environment such as AWS, Azure ■Soft skills - Ability to think and act flexibly according to the situation - Proactiveness - Respect to others and their different background - Try-first attitude Daily conversational level or higher

Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY

Chuo-ku, Tokyo

Their clients need access to the most recent high-quality satellite imagery in order to accomplish their goals, whether that's identifying illegal logging operations, monitoring of natural disasters, determining the ideal time to harvest or fertilize a crop, or monitoring large-scale infrastructure development. Images are the core of the company's earth observation platform, and as a software engineer you will work to enable their client's success by making sure the hiring company can provide this data reliably and with minimal latency. They are looking for a person with strong technical skills in Software Development and Cloud Computing. As a member of the Data Team, your mission is to develop, monitor and optimize the distributed systems that form the data pipeline, which processes the raw images received from the satellites into the final products that they deliver to clients in the earth observation platform.

Mandatory: - University degree in Computer Science or a related field. - Experience in developing, designing, maintaining and monitoring distributed systems in a production environment. - Comfortable having in-depth technical conversations about current and past projects. - Proficiency in Python. - Experience designing and deploying cloud-based infrastructure on AWS or GCP. - Knowledge of containerization technologies. - Experience designing and maintaining databases with PostgreSQL or similar open-source RDBM systems. - Ability to write, debug, optimize code, and automate routine tasks. - Willingness to learn new skills. - Strong communication skills in either English OR Japanese, with a willingness to learn the other. Favorable: - Written and verbal communication skills in English and an ability to work in a team environment. - Experience using IaC tools: Terraform, etc. - Knowledge of geospatial data processing libraries, e.g., GDAL, rasterio. - Experience with CI/CD pipelines. Strong communication skills in either English OR Japanese, with a willingness to learn the other

Major Japanese electronics company

Yokohama-shi, Kanagawa-ken

Hiring company provides B2B / B2C system service for various users who use video - amateur and professional camera photographer, broadcasting station, video maker for sports or other event, movie making with VFX, metaverse realization. You will be developing algorithm for AI, 3D CG, and image processing which are the core of this B2B / B2C service. Moreover, we prefer someone who can lead the development of system software utilizing the algorithm, and overall solution design and development in the future.

Must have either of the following: - Knowledge about camera and imaging device - Knowledge about / design and development experience of AI (deep learning) - Knowledge about / design and development experience of 3D CG - Knowledge about / design and development experience of image processing TOEIC 700+ Ability to discuss with foreign engineers Ability to gather information from papers and lectures in English

A startup providing secret-calculation-based data security and AI architecture design technology. Owns unique strength such as inter-business data linkage while keeping data secret. Year of foundation: 2016 Capital: JPY 100M Workforces: approx. 20

Shibuya-ku, Tokyo

- Management in general of multiple engineering teams - Improvement of engineering organization and business process - Collaboration with software / ML engineers from within and outside Japan

Mandatory skill / experience: - More than 2 years' experience leading project - Experience in end-to-end system development from requirement definition to implementation - Experience managing development resources (budget, progress, issue, quality) - Knowledge and experience about software development methodologies - Ability to communicate with customers in Japanese - Vitality to maintain high performance while learning Preferred skill / experience: - Significant success experience in project execution - Experience developing software on cloud platform - Knowledge in AI, ML, and math - Experience designing ML algorithm - Business level communication in English Daily conversational level or higher

Major Japanese electronics company

Shinagawa-ku, Tokyo

[ Team's mission ] R&D of AI video analysis technology and creation of new business by its application [ Role ] You will be responsible for one or more of the following: - Element AI technology such as in-video scene detection, character recognition, face recognition, voice recognition. - Building of video analysis platform integrating element technologies on cloud - Front-end / web app development for video analysis service

Must have: - Professional experience in deep learning - Experience of design, development and operation of service on cloud e.g. AWS, GCP, Azure - Experience developing commercial service / software Nice to have: - Expert-level knowledge about video format - Experience developing software using Python, Node.js, JavaScriot, JS frameworks etc. Must have: Ability to read technical papers / documents Nice to have: Ability to orally communicate with foreign engineers on technical matters

Japanese venture company working on IT automation for enterprises. Specialized in automating IT dept. operations such as system interfacing, alerting, configuration management. Having worked at a major SIer and founded an IT support outsourcer, CEO posses in-depth operational knowledge and connection. CTO was adapted for Mitou-Foundation project. Clients include many large IT service providers and user companies. Year of Foundation: 2013 Number of employees: about 30

Shibuya-ku, Tokyo

Development of company's own product consisting of: - System infrastructure to automate system interfacing without changing operational flow - Service to unify and manage network configurations across cloud and on-premise infra - Service to reduce the risk of overlooking incidents by automate escalation phone calls by easy setup - Service to automate various alerts that depended on operators - Other new services Role: - To lead application development for cloud service - To plan and design services - To manage engineer team Development environment: Languages: Go, TypeScript, JavaScript Framework: Vue.js Version control: GitHub Project management: Trello, GitHub CI: GitHub Actions CD: Kubernetes Operational environment: Azure Communication: Slack Each member is working on development across services and domains. Development process is close to agile, though optimized upon situation. The team environment allows members to inspire each other and improve technical skills by active discussion. Fully flex time / remote working. Side work is allowed.

Mandatory skill / experience: - Experience in requirement definition and system design - Knowledge about front-end, back-end, infrastructure and operation in system engineering (any language) - Development or operation experience on Linux Preferred skill / experience (one or more of the following): - Development experience using cloud platform such as Azure, ZWS - Experience using container technology e.g. Docker - Development experience in Golang - Development experience in JavaScript, TypeScript - Development experience using frameworks like Vue.js - Contribution to OSS Still preferred if you are excited to talk about editors and programming languages! N.A.

Building earth-observation platform by microsatellite constellation. Propose solutions based on microsatellite data. Design and production of microsatellites and related components. Launch arrangements and operational support. Establishment: 2008 Capital: 4,537 Million JPY

Chuo-ku, Tokyo

The engineer taking this position will be responsible for providing users who need data from the our services with a way to access them effectively using Web based technology.

Mandatory - Degree in Computer Science or work experience equivalent to it. - Experience developing in Python 3 and Python web application frameworks. -More than 1 year experience developing and operating product-ready API (AuthN/AuthZ, kind of complext SQL, integration with external systems based on API) - Experience quality assurance using automated testing or something like that. - Experience designing databases with PostgreSQL or similar open-source RDBM systems. - Ability to have daily conversations in English. Highly Desirable - Experience designing and developing GraphQL APIs. - Experience using container technologies. - Experience with performance-tuning of databases. - Experience designing and developing distributed systems using AWS SNS/SQS. - Experience with payment systems on data sales platforms and related domain knowledge. - Experience in management or interest in management positions in the future. Ability to have technical conversation

Major Japanese electronics company

Central Tokyo

To develop next generation cloud platform in order to enable continuous evolution of user experience with products and services of new category such as AI-Robotics, conversational agent. More specifically: - To develop device-cloud coordination technology that achieves ultra low latency processing - To establish super rapid training platform for deep learning etc.

Must have experience in: - Software development (3+ years) - Web application development - Linux server building Nice to have: - System development experience on AWS or other cloud platform using EC2, S3, RDS, Dynamo, CloudWatch, Lamda etc. - Development experience using web server such as Nginx, Apache, and DB server such as MySQL, PostgreSQL - Client-side development experience in HTML, CSS, JS - Experience using Docker, Vagrant, Chef/Ansible, Github, Jenkins etc. Can read technical specs