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AI Robot Association (AIRoA) is a Japanese non-profit organization dedicated to advancing AI-powered robotics through open data platforms and collaborative research. The association develops scalable robot data ecosystems, foundation models, and shared software tools to accelerate the deployment of humanoid and general-purpose robots worldwide.

In this role, you will be responsible for:

  • Designing service robot systems for real-world environments (e.g., homes, retail stores, and logistics sites).
  • Planning and executing proof-of-concept (PoC) studies and field experiments in the service robotics domain.
  • Selecting, improving, and iterating on robot hardware used in the project.
  • Quality assurance of the developed service robot system
  • サービスロボットシステム (e.g., household environment, retail shops, and logistics) の設計
  • サービスロボット領域における実証実験の計画
  • プロジェクトで使用するロボット・ハードウェアの選定・改良
  • 開発したサービスロボットシステムの品質の保証

Requirements

Minimum Qualifications

  • Currently pursuing a B.S., M.S., or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Hands-on experience with robotics through research labs, competitive projects, or advanced coursework.
  • Demonstrated ability to control real robots using ROS / ROS2.
  • Strong programming proficiency in Python.
  • Proven ability to work both independently and collaboratively in multidisciplinary research and engineering teams.

Preferred Qualifications

  • Willingness to conduct real-world experiments by using service robots in everyday life environments (e.g., at home).
  • Experience participating in and/or receiving awards at international robotics competitions (e.g., RoboCup@Home). • Experience leading or contributing to large-scale robot data collection or fleet management systems. • Experience integrating Sim2Real transfer or Vision-Language-Action (VLA) models onto real robotic systems.
  • Experience and foundational knowledge of Web application development

Leadership & Other Qualifications

  • Leadership experience mentoring junior engineers and influencing stakeholders.
  • Ability to lead multidisciplinary engineering teams.
  • Experience working on complex hardware systems such as automotive, consumer electronics, or similarly sophisticated products.

必須要件

  • ロボティクス、機械工学、電気工学、計算機科学、または関連分野の学士・修士・博士課程に在籍中であること
  • 研究室、競技プロジェクト、高度な coursework などを通じた、ロボティクスに関する実機・実践経験
  • ROS / ROS2 による実機制御の実務能力
  • Python による高いプログラミング力
  • 多分野の研究・エンジニアリングチームにおいて、独立しても協働でも成果を出せる能力

歓迎要件

  • 自宅など実生活環境でサービスロボットを利用しながら実証実験を行う意志
  • 海外競技会(RoboCup@Home など)への参加・表彰経験
  • 大規模なロボットデータ収集、またはフリート管理システムのリード/貢献経験
  • Sim2Real 転移や Vision-Language-Action(VLA)モデルを実機ロボットへ統合した経験
  • Webアプリケーションの開発経験と基礎知識

リーダーシップとその他

  • 若手エンジニアの指導や、ステークホルダーへの影響力を発揮したリーダーシップ経験
  • 多分野エンジニアリングチームをリードする能力
  • 自動車、コンシューマーエレクトロニクス、または同様に複雑なハードウェアシステムでの経験

Benefits

Benefits

There are currently no comparable projects in the world that collect data and develop foundation models on such a large scale. As mentioned above, this is one of Japan’s leading national projects, supported by a substantial investment of 20.5 billion yen from NEDO.

This position will play a crucial role in determining the success of the project. You will have broad discretion and responsibility, and we are confident that, if successful, you will gain both a great sense of achievement and the opportunity to make a meaningful contribution to society.

Furthermore, we strongly encourage engineers to actively build their careers through this project-for example, by publishing research papers and engaging in academic activities.

世界に目を向けても、これほど大規模にデータ収集を行い、基盤モデルを開発しているプロジェクトは現在ほかにありません。前述の通り、これは日本を代表する国家プロジェクトの一つであり、NEDO から 205 億円という大規模な投資支援を受けています。

このポジションは、プロジェクトの成否を左右する極めて重要な役割を担います。広い裁量と責任が与えられ、成功した暁には、大きな達成感と社会に対する実質的な貢献の機会を得られると確信しています。

さらに、本プロジェクトを通じて、たとえば論文発表や学術活動への参加など、エンジニアが主体的にキャリアを築いていくことを強く推奨しています。

What You Will Gain

  • Direct experience working on large-scale humanoid robotic systems in real-world environments
  • Exposure to foundation model deployment for embodied AI
  • Systems-level engineering experience spanning hardware, control, AI models, and infrastructure
  • The opportunity to contribute meaningfully to one of Japan’s most ambitious robotics initiatives
  • 実環境における大規模ヒューマノイドロボットシステム開発の実務経験
  • embodied AI 向け基盤モデルのデプロイに関する知見と経験
  • ハードウェア、制御、AI モデル、インフラにまたがるシステムレベルのエンジニアリング経験
  • 日本で最も意欲的なロボティクスプロジェクトの一つに、実質的に貢献できる機会
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