强化学习运动控制算法工程师
深圳
全职
职位描述
1、负责人型机器人深度强化学习运动控制模型的训练、部署、优化。 2、参与相关运控量产功能的上线交付。 3、参与前沿算法的探索和复现，包括但不限于感知运控、生成式运控、loco-manipulation、whole-body VLA等。 4、支持 Skill 参数化、组合执行以及不同场景下的泛化，为上层 Agent 提供稳定、清晰、可调用的机器人能力接口。
职位要求
1、本科及以上学历，控制工程与控制理论、机械电子、计算机、自动化等相关专业。 2、熟悉人型机器人深度强化学习运动控制的训练和调优，有实机经验。 3、掌握C++、python编程语言，熟练使用isaac lab、mjlab、mujuco等仿真器。 4、发表过相关论文（T-RO、RSS、CoRL、RA-L、ICRA、IROS、ICLR等）或有机器人竞赛（如RoboMaster、RoboCup、DARPA挑战赛等）经验优先录取。
投递
AGIBOT is an Embodied AI foundation model company developing both the intelligence layer and the corresponding robotic embodiments needed to bring general intelligence into the physical world. Founded in 2023, AGIBOT is building a full-stack Embodied AI platform across foundation models, data infrastructure, simulation, robotic hardware, and deployment. AGIBOT’s “Three Intelligences in One” architecture integrates Locomotion Intelligence, Interaction Intelligence, and Manipulation Intelligence into a unified embodied system. AGIBOT’s portfolio spans humanoid robots, quadrupeds, dexterous systems, and commercial cleaning solutions. In March 2026, AGIBOT announced that its 10,000th robot had rolled off the production line.
