Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Bosch Research is seeking outstanding Research Scientists in Embodied AI to join our production systems and automation research teams. We focus on mission-driven, high-impact research that bridges fundamental advances in AI with real-world deployment in industrial manufacturing environments. 

博世中央研究院正在寻找优秀的具身智能（Embodied AI）研究科学家，加入我们的生产系统与自动化研究团队。我们致力于使命驱动、具有高影响力的研究，重点将人工智能领域的基础性突破与工业制造环境中的真实部署紧密结合。 
 
In this role, you will work at the intersection of robotics, machine learning, and automation, contributing to the development of intelligent robotic systems that enable flexible, adaptive, and robust production. The position emphasizes strong hands-on research capabilities across sensing, learning, control, and real-world deployment, with relevance to manufacturing and industrial automation scenarios. 

在该岗位将涉及机器人、机器学习与自动化的交叉前沿，参与研发支持灵活、自适应且高鲁棒性生产的智能机器人系统。该职位强调在感知、学习、控制以及真实生产环境部署等方面具备扎实的动手科研能力，并紧密围绕制造业与工业自动化应用场景展开。 
 
You will collaborate closely with interdisciplinary teams across Bosch Research, product divisions, and external partners to translate cutting-edge research into scalable industrial solutions. 
您将与博世研究院内部跨学科团队、产品业务部门以及外部合作伙伴紧密协作，推动前沿科研成果向可规模化落地的工业解决方案转化。 

• Conduct fundamental and applied research in embodied AI for robotics and automation with industrial relevance. 
• Design and implement advanced robotic perception, learning, and control systems. 
• Develop and evaluate learning-based methods for robot manipulation, motion generation, and task execution in manufacturing contexts. 
• Integrate multimodal sensing (e.g., vision, force, tactile, proprioception) into robotic systems with novel data-driven paradigms. 
• Bridge simulation and real-world deployment, ensuring robustness and reliability in production environments. 
• Collaborate with product teams to transition research outcomes into prototypes and deployable technologies. 
• Publish research results and contribute to Bosch intellectual property. 

• 开展面向机器人与自动化领域、具有工业相关性的具身智能基础研究与应用研究。 

• 设计并实现先进的机器人感知、学习与控制系统。 

• 在制造场景中，开发并评估基于学习的方法，用于机器人操作、运动生成与任务执行。 

• 将多模态感知融合（如视觉、力觉、触觉、本体感知等）应用到机器人系统，构建创新的数据驱动型范式。 

• 打通仿真与真实世界部署之间的链路，确保机器人系统在生产环境中的鲁棒性与可靠性。 

• 与产品与工程团队紧密协作，推动研究成果向原型系统及可部署技术转化。 

• 发表高质量研究成果，并为博世的知识产权体系做出贡献。

• Master’s or PhD degree (or equivalent research experience) in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field. 
• Strong background in robotics, with demonstrated experience in robot manipulation and control. 
• Experience in one or more of the following areas: 
  – Robot learning, reinforcement learning, imitation learning 
  – Vision-language or multimodal models for embodied systems 
  – Motion planning, control, and manipulation 
  – Sim-to-real transfer and real-world robotic experimentation 
• Hands-on experience with real robotic platforms beyond simulation. 
• Proficiency in Python for rapid research prototyping; C++ is a plus. 
• Experience with modern machine learning frameworks such as PyTorch. 
• Strong analytical, problem-solving, and communication skills. 
 

• 具备机器人学、计算机科学、电气工程、机械工程或相关领域的硕士或博士学位（或具备同等水平的科研经验）。 

• 具备扎实的机器人技术背景，并在操作（manipulation）与控制方面拥有可验证的实践经验。 

• 在以下一个或多个方向具备研究或实践经验： 
– 机器人学习，包括强化学习、模仿学习等 
– 面向具身系统的视觉-语言模型或多模态模型 
– 运动规划、控制与机器人操作 
– 仿真到现实（Sim-to-Real）迁移及真实机器人实验 

• 具备仿真环境之外的真实机器人平台动手实验经验。 

• 熟练使用 Python 进行快速科研原型开发；具备 C++ 经验者优先。 

• 熟悉现代机器学习框架，如 PyTorch。 

• 具备优秀的分析能力、问题解决能力以及良好的沟通表达能力。