【ロボで社会課題を解決する】ロボット制御システムの開発・インテグレーションエンジニア募集!
Role 仕事内容
エクサウィザーズのロボット事業が目指すもの
・人工知能を用いることで、
・制御システムによる液体/粉体の計量の自動化、その他対象/作
当ポジションの業務内容
・ロボット制御システムの開発業務
・現場へのロボットの導入業務
ExaWizards' robotics business aims to:
・Realize the non-programmable robot control system by using artificial intelligence
・Automate the liquid/powder weighing processes, as well as the other objects/operations
You would be responsible for the following tasks:
・Development of robot control system
・Installation of the robots on-site
Minimum Skill/Experience 必須要件
・協働ロボットを含む複数のアーム型ロボットシステムのインテグレーション、現場導入・運用経験
・C++,python, ROS等を用いたロボット制御システムの開発経験
・安全を考慮したロボット制御システムの要件定義の経験
・複数のセンサやPLCなどのデバイスを用いたシステムの構築・運用経験
・新しい課題や未知の領域に果敢に挑戦した経験
・ビジネス日本語
・Experience in integration, field installation and operation of multi-arm robot systems including collaborative robots
・Development experience of robot control systems using C++, python, ROS, etc.
・Experience in defining requirements for safety-conscious robot control systems
・Experience in building and operating systems using multiple sensors, PLCs, and other devices
・Experience in challenging new issues and unknown areas
・Business Japanese
Preferred Skill/Experience 歓迎要件
・データベースおよびシステムアーキテクチャの設計、
・クラウドを用いたシステムおよびAPIの設計、構築、運用経験
・Git, hgといった開発環境での経験
・スタートアップで働いた、あるいは協業した経験、
・Scipy/Numpy, Scikit-Learn, Pandas, Tensorflow, Keras, Chainer, PyTorchなどのフレームワークを利用した機械学習における
・機械学習の理論的背景を理解
・Experience in designing and implementing database and system architecture
・Experience in designing, building, and operating cloud-based systems and APIs
・Experience with development environments such as Git and hg
・Experience of working in a startup environment
・Experience in machine learning implementation using frameworks such as Scipy/Numpy, Scikit-Learn, Pandas, Tensorflow, Keras, Chainer, PyTorch, etc.
・Good understanding of the theoretical background of machine learning
・Conversational or higher level of Japanese language
面接プロセス
▼書類選考
▼一次面接
▼最終面接
▼内定
▼オファー面談
※場合によって選考回数は増減します。
- 応募する
About ExaWizards
ExaWizards is an AI start-up with a simple mission: solve social issues using AI and create a happy society. But to achieve it, they’re tackling issues across a wide variety of industries: Care tech, HR, fintech, medicine, security and more. They believe AI can help solve problems in all these areas, and they’re determined to do just that. Their business model can be broken into two different flows: project-focused and product-focused. For project-focused initiatives, they start from scratch. Their ML engineers and consultants identify business problems and build models aimed at solving them. In their product flow, they take the ML models developed for specific problems and generalize them to be useful for a wider array of problems. Normally they develop these solutions into SaaS products.
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