{"id":175,"url":"https://alion.io/job/airoa-rd-027-robotics-engineer-intern","title":"R&D-027 Robotics Engineer Intern","company":{"id":322,"name":"AI Robot Association","domain":"airoa.org","url":"https://alion.io/company/airoa","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":54,"open_postings":44,"ghost_share":0.773,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":113000,"period":"year","method":null,"sample_n":695},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Teleoperation","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"Isaac Sim","optional":true},{"name":"MuJoCo","optional":true}],"status":"live","first_seen_at":"2026-03-23T00:00:00Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-10-16T02:41:28Z","board_verified":true,"closed_at":null,"days_open":207,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":206},"description":"※日本語版が続きます。\nAbout AIRoA\nThe AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world’s most powerful Vision-Language-Action (VLA) models.\nWhat makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.\nJob Description\nAs a Robotics Engineer Intern, you will:\nContribute to the design and implementation of scalable data collection systems across fleets of humanoid and mobile robots\nDevelop and evaluate low-latency teleoperation and control systems deployed on physical robotic platforms\nBuild and improve automated pipelines for deploying and evaluating machine learning models in both simulation and real-world environments\nWork closely with the Vision-Language-Action (VLA) team to integrate state-of-the-art embodied AI models onto real robots\nDebug and optimize complex robotic systems spanning perception, control, and hardware-software integration\nTake ownership of technically challenging components under the guidance of senior engineers\nThis role involves working with high-DOF robotic systems and large-scale infrastructure. The problems are open-ended, systems-level, and technically demanding.\nAIRoAについて\nAI Robot Association（AIRoA）は、画期的な取り組みを開始します。数百台のヒューマノイドロボットを用いて、ヒューマノイドロボットの操作データを100万時間分収集し、それを活用してVision-Language-Action（VLA）モデルを学習させます。\n私たちの独自性は、実世界データとヒューマノイドプラットフォームの前例のない規模だけではなく、あらゆるものをオープンでアクセス可能にするというコミットメントにもあります。AIRoAはデータセット、学習済みモデル、ベンチマークを誰もが利用できる共有の「ロボット・データ・エコシステム」の構築を目指しています。実現が成功すれば、世界中の研究者が、私たちのオープン評価プラットフォームを通じて、標準化されたヒューマノイドロボット上で自らのモデルを評価できるようになることを期待しています。\n業務内容\nこの役割では、以下を担当します：\n数百台規模のヒューマノイドロボットおよびモバイルロボット上で稼働する、スケーラブルなデータ収集システムの設計・構築\n操作性を最大化しつつ、オペレーター負荷を最小化する、低遅延・半自律・双方向のテレオペレーションシステムの開発\nシミュレーション環境および実機ロボットの両方において、大規模なモデル展開と厳密な評価を実現する自動化パイプラインの構築\nVision-Language-Action（VLA）チームと密に連携し、最先端モデルを実機ロボットへ統合・展開\n実環境で安定稼働する堅牢なロボットソフトウェアおよびハードウェアシステムの設計\n認識、制御、システム統合の各レイヤーにまたがる問題の診断、デバッグ、性能最適化\nクロスファンクショナルチームと連携し、研究プロトタイプをスケーラブルな本番品質のエンジニアリングシステムへ移行\nRequirements\n※日本語版が続きます。\nRequired Qualifications\nCurrently pursuing a B.S., M.S., or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field\nStrong hands-on experience with robotics through research labs, competitive projects, or advanced coursework\nExperience controlling physical robotic systems or complex simulated robots (e.g., via ROS/ROS2 or similar frameworks)\nSolid understanding of control systems, robotics fundamentals, and system integration\nStrong programming skills in C++ and/or Python\nAbility to independently implement and debug non-trivial technical systems\nPreferred Qualifications\nExperience with high-DOF robotic systems such as mobile manipulators or humanoid robots\nExperience with teleoperation, bilateral control, or real-time robotic systems\nExperience working with robotic simulators (e.g., Isaac Sim, MuJoCo)\nExposure to machine learning for robotics, Sim2Real transfer, or embodied AI\nExperience building scalable web-based tools or infrastructure for robotics data or evaluation platforms\nContributions to open-source robotics or AI projects\n必須要件\n 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 \n 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強い実機・実践経験 \n 実機ロボットシステム、または複雑なシミュレーションロボットの制御経験（例：ROS/ROS2 または同等のフレームワーク） \n 制御システム、ロボティクスの基礎、およびシステム統合に関する確かな理解 \n C++ および／または Python における高いプログラミング能力 \n 一定以上の技術的難易度を持つシステムを、自律的に実装・デバッグできる能力 \n歓迎要件\n モバイルマニピュレータやヒューマノイドロボットなど、高自由度ロボットシステムの経験 \n テレオペレーション、双方向制御、またはリアルタイムロボットシステムの経験 \n ロボットシミュレータ（例：Isaac Sim、MuJoCo）を用いた経験 \n ロボティクス向け機械学習、Sim2Real 転移、または embodied AI に関する知見・経験 \n ロボティクス向けデータ基盤や評価プラットフォームのための、スケーラブルな Web ベースツールやインフラの構築経験 \n オープンソースのロボティクスまたは AI プロジェクトへの貢献経験\nBenefits\n※日本語版が続きます。\nWhat You Will Gain\nDirect experience working on large-scale humanoid robotic systems in real-world environments\nExposure to foundation model deployment for embodied AI\nSystems-level engineering experience spanning hardware, control, AI models, and infrastructure\nThe opportunity to contribute meaningfully to one of Japan’s most ambitious robotics initiatives\nこのポジションで得られるもの\n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\nembodied AI 向け基盤モデルのデプロイに関する知見と経験\n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\n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\n•Work location\nTokyo Ryutsu Center A Bldg. 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