ロボット組立エンジニア / Assembly Engineer

6時間前

Tokyo Telexistence
このポジションはTelexistenceの製品開発・生産チームとしてロボットの生産ラインを内製化すべく設置された新ポジションです。これまでは外部の組付けパートナー企業へ委託をしていましたが、これを自社で内製化するための立ち上げをリードしていただきます。 (本ポジションの雇用主はTelexistenceの100%子会社、Model T Operationsです)。
This position has been established as part of Telexistence's product development and production team to internalize the robot production line. Previously, assembly tasks were outsourced to external partners, but now, we are looking for someone to lead the initiative of bringing this process in-house.
*The employer for this position is Model T Operations, a 100% subsidiary of Telexistence.

業務内容 (Responsibilities)

  • 社内生産ラインの立ち上げに関わ業務(オフィス内の設備・什器の設置、ラインのデザイン等)ロボットの製造及び組立、ソフトウェアのインストール、据付試運転調整、出荷前テストの実施など、生産に関わる一通りの工程の実行組立スタッフのリード及び工程管理、部品の受入検査や在庫管理製品出荷スケジュールに沿った納期管理生産効率を向上させ、コストを削減するためのプロセス改善や、治具の提案・製作定められた品質基準に基づいた生産と品質保証工程の策定サポート

  • This position involves tasks related to the establishment of an in-house production line, including setting up office facilities and fixtures, designing the production line, manufacturing and assembling robots, installing software, conducting on-site trial adjustments, and performing pre-shipping tests. Responsibilities also include leading and managing assembly staff, overseeing the entire production process, conducting incoming inspections of parts, managing inventory, adhering to product shipping schedules, and ensuring production efficiency. Additionally, you'll be involved in process improvement to enhance production efficiency and reduce costs, proposing and fabricating fixtures, and providing support in the formulation of production and quality assurance processes based on specified quality standards.

必須要件 (Must Haves)

  • ハードウェア機器・機械工場での勤務経験
  • ハードウェア機器・機械の分野における据付の経験
  • ハードウェア機器・機械の組立の経験
  • 機械・電気製品、機構部品に関する知見
  • 弊社オフィス(東京23区内)での勤務ができる方


  • Work experience in a hardware equipment or machinery factory.
  • Experience in the installation of hardware equipment or machinery.
  • Experience in the assembly of hardware equipment or machinery.
  • Knowledge of mechanical and electrical products, as well as mechanical components.
  • Ability to work at our office located within the 23 wards of Tokyo.

歓迎・尚可 (Nice to have)

  • 複数名のチームでの勤務経験(リーダーポジションなら尚可)
  • メンバーに対する指導・育成経験

  • Experience working in teams, preferably in a leadership position if applicable.
  • Experience in guiding and mentoring team members.

勤務条件 (Benefits and Compensation)

  • 契約期間:期間の定めなし、または1年ごとの有期契約(個人の経験や能力で判断)
  • 試⽤期間:あり(3カ⽉)
  • 勤務形態・就業時間:通常10時〜19時(8時間)
  • 休⽇:⼟⽇、祝⽇
  • 残業:あり(固定残業あり)
  • 年俸:380-400万円(固定残業を超える残業手当別途)
  • 社会保険:健康保険、厚⽣年⾦、労災保険、雇⽤保険

  • Contract Period: Indefinite or annual fixed-term contract (subject to individual experience and capabilities).
  • Probation Period: Yes (3 months).
  • Work Schedule: Flextime system, typically from 10:00 to 19:00 (8 hours).
  • Days Off: Saturdays, Sundays, and public holidays.
  • Overtime: Yes (fixed overtime included).
  • Annual Salary: million yen (overtime allowance beyond fixed overtime is separate).
  • Social Insurance: Health insurance, welfare pension, workers' compensation insurance, employment insurance.

このポジションの魅力 (Why This position?)

  • 生産ラインは、ロボットの開発チームが働くオフィス内に設置されます。高度なロボット技術や開発の現場で、卓越した技術をもつエンジニアたちと一緒に働くことで、最先端のロボット技術に触れることができます。
  • 2022年8月に出荷が始まったばかりの最先端の人工知能ロボットの社内生産ラインの最初の立ち上げに携わる経験をすることができます。

  • The production line will be set up within the office where the robot development team operates. By working alongside highly skilled engineers in the field of advanced robot technology and development, you'll have the opportunity to immerse yourself in cutting-edge robotic technology.
  • You'll also gain experience in launching the initial production line for state-of-the-art artificial intelligence robots, which began shipping in August 2022.
勤務地はModel T Operationsの本社オフィス(東京都中央区晴海)ですが会社が指定する他の場所に変更となる可能性があります。 業務内容は入社後変更される場合があります。これには、責任範囲、レポートライン、またはチーム所属変更等が含まれます。 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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