R&D-026 Robotics Engineer (System Integration)
Salary not provided
Minimum year of experience: 3
AIRoAR&D-026 Robotics Engineer (System Integration)
On-site | Development Division
Heiwajima, Tokyo, Japan
Description
About AIRoA
AI Robot Association (AIRoA) is an organization dedicated to collecting large-scale real-world robot data, including data from humanoid robots, and advancing the development of generative AI foundation models in the field of robotics.
AIRoA has been selected by Japan’s Ministry of Economy, Trade and Industry (METI) and NEDO as an implementing organization for the development of a data platform for generative AI foundation models in robotics under the “Post-5G Information and Communication Systems Infrastructure Enhancement R&D Project.” The project budget is JPY 20.5 billion.
Based on this foundation, AIRoA is working on a project to collect one million hours of humanoid robot operation data using more than 100 robots, and to develop a world-class Vision-Language-Action (VLA) model by leveraging this data.
Robotics Engineer — System Integration
Responsibilities
In this role, you will be responsible for the following:
- Integrating and validating ROS/ROS2-based robot software, data acquisition interfaces, and various modules running on humanoid robots and mobile robots.
- Designing and implementing state management, mode switching, and system interfaces to ensure safe and stable operation on real robots, in collaboration with teleoperation, control, navigation, and AI/VLA-related modules.
- Driving integration testing, real-robot evaluation, and issue isolation for robot software using both simulation environments and physical robots.
- Working closely with the Vision-Language-Action (VLA) team to support software interfaces, state management, and connections to evaluation environments required to run VLA models and learned policies on real robots.
- Designing robust robot software and hardware systems that operate reliably in real-world environments.
- Diagnosing, debugging, and optimizing performance across perception, control, and system integration layers.
- Collaborating with cross-functional teams to integrate research prototypes into common platforms and applications so that they can operate reproducibly on real robots.
Requirements
Required Qualifications
- Master’s or Ph.D. degree in robotics, mechanical engineering, electrical engineering, computer science, or a related field, with at least three years of relevant industry experience, or equivalent practical experience.
- Hands-on experience in the development, integration, and debugging of real robots or mechatronic systems, including dual-arm mobile manipulators and humanoid robots operating in real-world environments.
- Experience controlling real robot systems using ROS/ROS2, including full-stack system integration and deployment, or experience integrating and validating multiple robot software modules on physical robots.
- Ability to understand interfaces across multiple components, including sensors, actuators, control systems, AI modules, and UI, and to connect and validate them on real robots.
- Strong programming skills in C++ and Python, with the ability to write production-quality code and perform system-level integration.
- Ability to work autonomously while collaborating effectively within a multidisciplinary engineering team.
- Experience developing, integrating, and validating reliable robot systems in production or real-world operational environments.
Preferred Qualifications
- Publications in leading international robotics conferences or journals.
- Experience transitioning complex robot systems from prototypes to real-robot validation and operational deployment.
- Experience with tactile sensing, contact-rich manipulation, teleoperation, and integration with control modules.
- Experience in software integration related to robot data acquisition, real-robot logs, evaluation datasets, and multi-robot operations.
- Experience using robot simulators such as Isaac Sim or MuJoCo for training and evaluation.
- Experience connecting and evaluating simulations, learned policies, or Vision-Language-Action (VLA) models with real robot systems.
- Experience with CI/CD pipelines and system validation methods for robotics applications.
- Experience developing evaluation tools, visualization tools, diagnostic tools, or operational support tools for robotics applications.
必須要件
- ロボティクス、機械⼯学、電気⼯学、計算機科学、または関連分野の修⼠号もしくは博⼠号を有し、関連する業界経験3年以上を有すること（または同等の実務経験）
- 実環境で稼働する双腕モバイルマニピュレータやヒューマノイドロボットを含む、ロボットまたはメカトロニクスシステムに関する実機開発‧統合‧デバッグ経験
- ROS/ROS2 を⽤いた実ロボットシステム制御の経験。フルスタックでのシステム統合およびデプロイ経験を含む 、または複数のロボットソフトウェアモジュールを実機上で統合‧検証した経験
- センサ、アクチュエータ、制御、AIモジュール、UIなど複数コンポーネント間のI/Fを理解し、実機上で接続‧検証できること
- C および Python における⾼いプログラミング能⼒を有し、本番品質のコード記述およびシステムレベル統合ができること
- ⾃律的に業務を遂⾏すると同時に、多分野のエンジニアリングチーム内でも効果的に協働できること
- 本番環境または実運⽤環境において、信頼性の⾼いロボットシステムを開発‧統合‧検証した経験
歓迎要件
- 著名なロボティクス分野の国際会議または学術誌での論⽂実績
- 複雑なロボットシステムをプロトタイプから実機検証‧実運⽤段階まで移⾏させた経験
- 触覚センシング、接触を伴う操作、テレオペレーション、制御モジュールとの統合経験
- ロボットデータ取得、実機ログ、評価⽤データ、複数台ロボット運⽤に関わるソフトウェア統合経験
- 学習および評価のために Isaac Sim や MuJoCo などのロボットシミュレータを⽤いた経験
- シミュレーション、学習済みpolicy、またはVision-Language-Action（VLA）モデルと実ロボットシステムを接続‧評価した経験
- ロボティクス⽤途における CI/CD パイプラインおよびシステム検証⼿法に関する経験
- ロボティクス向け評価ツール、可視化ツール、診断ツール、運⽤⽀援ツールの開発経験
Benefits
Few initiatives globally match the scale of this project in collecting large-scale robotic data and developing foundation models for embodied AI. As part of one of Japan’s leading national programs, the project is supported by a 20.5 billion yen investment from NEDO.
This role will be central to the project’s success. You will have significant ownership and technical autonomy, with the opportunity to shape core systems that define the future of large-scale robotics and embodied AI.
Engineers are strongly encouraged to grow their careers through this initiative—for example, by leading system deployments, contributing to open-source robotics software, and driving engineering excellence across large-scale robotic platforms.
このプロジェクトは、大規模なロボットデータ収集と embodied AI 向け基盤モデルの開発という点において、世界的に見ても類を見ない規模を誇ります。日本を代表する国家プロジェクトの一つとして、NEDO による 205 億円の投資支援を受けています。
このポジションは、プロジェクト成功の中核を担う役割です。大きなオーナーシップと技術的裁量を持ち、大規模ロボティクスおよび embodied AI の未来を形づくる中核システムの設計・構築に深く関わることができます。
また、本イニシアチブを通じてエンジニアとしてのキャリアを大きく伸ばすことが強く期待されています。たとえば、システム展開の主導、オープンソースのロボティクスソフトウェアへの貢献、大規模ロボットプラットフォーム全体にわたるエンジニアリング品質の向上推進などに取り組む機会があります。
Work location
Tokyo Ryutsu Center A Bldg. AW4-5/4-6, 6-1-1 Heiwajima, Ota-ku, Tokyo 143-0006, Japan