Sharpa Robotics
Posted 12mo ago

机器人控制工程师-传统控制组(实习生)

Sharpa Robotics
Shanghai, Shanghai, China
OnsiteInternship
Responsibilities
  • designing control
  • simulating algorithms
  • debugging robots
Requirements
  • Master's in EE/automation/control (required),2+ years control systems experience
  • Proficient in PID/state-space
  • Modeling
  • Simulation, and one programming language (C++
  • Python, or MATLAB)
Technical tools mentioned
C++PythonMATLAB

Job description

1、设计和实现先进的机器人控制系统,包括但不限于伺服控制、自适应控制和智能控制策略。
2、进行系统建模、分析和辨识,以优化系统性能和稳定性。
3、与机械设计团队合作,确保控制系统与机械部件的兼容性和集成性。
4、与具身智能算法团队合作,整合控制算法和人工智能技术,提升机器人的操作性能。
5、进行控制算法的仿真测试和实际机器人的调试工作。
6、编写技术文档,包括设计规范、测试报告和用户手册。
7、跟踪最新的控制理论和技术发展,持续改进控制系统。

1、至少拥有电气工程、自动化、控制工程或相关领域的硕士学位,具备良好的数学基础和底层数理逻辑。
2、至少2年以上的控制系统设计和开发经验,具有机器人运动学、动力学、规划控制的知识结构
3、精通传统控制理论,包括PID控制、状态空间控制等。熟悉现代控制理论,如模糊逻辑、神经网络、预测控制者优先。
4、熟悉控制系统的建模、仿真和辨识技术。
5、能够使用至少一种编程语言(如C++、Python或MATLAB)进行控制系统的开发和仿真。
6、良好的团队合作精神和沟通能力,能够与不同背景的工程师有效沟通。

About Sharpa Robotics

Develops high-performance dexterous robotic hands and humanoid platforms.

Similar jobs

Robot Control Engineer roles near Shanghai, Shanghai
12mo
Save
Mark Applied
Hide
机器人控制工程师(传统控制组)
Shanghai, Shanghai, China
OnsiteFull Time
Sharpa Robotics
Sharpa Robotics: Developing high-performance humanoid robots and core robotic components.
2+ YOEMaster's in electrical engineering/automation/control,2+ years control system design experience,knowledge of robot kinematics/dynamics,proficiency in C++/Python/MATLAB,traditional control expertise (PID,state-space).
C++, Python, MATLAB
2mo
Save
Mark Applied
Hide
机器人运控算法工程师
Shanghai, Shanghai, China
OnsiteFull Time
Shanghai Artificial Intelligence Laboratory
Shanghai Artificial Intelligence Laboratory: A national-level research institution conducting advanced artificial intelligence R&D.
Master's degree in relevant field, strong control theory and programming skills, experience with robot real‑world experiments, proficiency in MPC/PID/RL and C/C++/Python; PX4 experience preferred.
C, C++, Python, PX4
1w
Save
Mark Applied
Hide
Humanoid感控算法工程师/专家
Shanghai, Shanghai, China
OnsiteFull Time
AgiBot
AgiBot: AgiBot develops and manufactures advanced humanoid robots and embodied AI.
2+ YOEMaster's degree in a relevant field, 2+ years of embodied intelligence R&D, end-to-end robot project experience, simulator expertise, sim-to-real experience, and strong PyTorch engineering skills.
Isaac Lab, Isaac Sim, MuJoCo, PyTorch, PHP, SONIC, GR00T WBC, OmniRetarget
2mo
Save
Mark Applied
Hide
机器人规划控制工程师
Shanghai, Shanghai, China
OnsiteFull Time
Flexiv
Flexiv: Develops adaptive, AI-powered robots for complex industrial automation.
3+ YOEMSc/PhD in robotics, mech engineering, CS or equivalent; 3+ years robot software development; strong C++ and Python; experience deploying motion planners on real robots; solid kinematics/dynamics and force-aware planning.
C++, Python
2mo
Save
Mark Applied
Hide
机器人运动控制算法工程师
Shanghai, Shanghai, China
OnsiteFull Time
Shanghai Sudo Technology
Shanghai Sudo Technology: Developer of universal embodied AI and robotics brains.
3+ YOEMaster's degree in robotics,3+ years robot arm software development,experience with ROS2,Isaac lab,PyTorch/ONNX/TensorRT/vLLM,Docker/Linux/GPU, sensor/camera/motor debugging,and automated experiment/benchmark construction.
ROS2, Issac lab, PyTorch, ONNX, TensorRT, vLLM, Docker, Linux, GPU
6mo
Save
Mark Applied
Hide
机器人运控算法工程师(强化学习方向)(2026)
Beijing or Shanghai
OnsiteFull Time
Vita Dynamics
Vita Dynamics: Develops consumer-grade robots powered by embodied artificial intelligence technology.
Master's degree in CS/EE/robotics/control, strong reinforcement learning (PPO,SAC) and control theory, Python and deep learning framework experience, simulation and hardware validation skills.
Isaac Gym, PyBullet, Python, PyTorch, ROS2, Linux
1mo
Save
Mark Applied
Hide
机器人运动规划与控制工程师
Shanghai, Shanghai, China
OnsiteFull Time
Shanghai Innovation Institute
Shanghai Innovation Institute: Academic institute focused on advanced AI graduate education.
4+ YOEDesign and implement motion planning and control for real robots, develop closed-loop strategies, integrate perception and control, and debug simulation-to-hardware issues; requires robotics/control background and strong C++/Python skills.
ROS/ROS2, OMPL, MoveIt, CHOMP, STOMP, TrajOpt, MPC, RRT, PRM, A*, Hybrid A*, C++, Python